Continual lifelong learning with neural networks: A review
Humans and animals have the ability to continually acquire, fine-tune, and transfer knowledge and skills throughout their lifespan. This ability, referred to as lifelong learning, is mediated by a rich set of neurocognitive mechanisms that together contribute to the development and specialization of...
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| Published in | Neural networks Vol. 113; pp. 54 - 71 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
Elsevier Ltd
01.05.2019
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| Subjects | |
| Online Access | Get full text |
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| Abstract | Humans and animals have the ability to continually acquire, fine-tune, and transfer knowledge and skills throughout their lifespan. This ability, referred to as lifelong learning, is mediated by a rich set of neurocognitive mechanisms that together contribute to the development and specialization of our sensorimotor skills as well as to long-term memory consolidation and retrieval. Consequently, lifelong learning capabilities are crucial for computational learning systems and autonomous agents interacting in the real world and processing continuous streams of information. However, lifelong learning remains a long-standing challenge for machine learning and neural network models since the continual acquisition of incrementally available information from non-stationary data distributions generally leads to catastrophic forgetting or interference. This limitation represents a major drawback for state-of-the-art deep neural network models that typically learn representations from stationary batches of training data, thus without accounting for situations in which information becomes incrementally available over time. In this review, we critically summarize the main challenges linked to lifelong learning for artificial learning systems and compare existing neural network approaches that alleviate, to different extents, catastrophic forgetting. Although significant advances have been made in domain-specific learning with neural networks, extensive research efforts are required for the development of robust lifelong learning on autonomous agents and robots. We discuss well-established and emerging research motivated by lifelong learning factors in biological systems such as structural plasticity, memory replay, curriculum and transfer learning, intrinsic motivation, and multisensory integration. |
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| AbstractList | Humans and animals have the ability to continually acquire, fine-tune, and transfer knowledge and skills throughout their lifespan. This ability, referred to as lifelong learning, is mediated by a rich set of neurocognitive mechanisms that together contribute to the development and specialization of our sensorimotor skills as well as to long-term memory consolidation and retrieval. Consequently, lifelong learning capabilities are crucial for computational learning systems and autonomous agents interacting in the real world and processing continuous streams of information. However, lifelong learning remains a long-standing challenge for machine learning and neural network models since the continual acquisition of incrementally available information from non-stationary data distributions generally leads to catastrophic forgetting or interference. This limitation represents a major drawback for state-of-the-art deep neural network models that typically learn representations from stationary batches of training data, thus without accounting for situations in which information becomes incrementally available over time. In this review, we critically summarize the main challenges linked to lifelong learning for artificial learning systems and compare existing neural network approaches that alleviate, to different extents, catastrophic forgetting. Although significant advances have been made in domain-specific learning with neural networks, extensive research efforts are required for the development of robust lifelong learning on autonomous agents and robots. We discuss well-established and emerging research motivated by lifelong learning factors in biological systems such as structural plasticity, memory replay, curriculum and transfer learning, intrinsic motivation, and multisensory integration. Humans and animals have the ability to continually acquire, fine-tune, and transfer knowledge and skills throughout their lifespan. This ability, referred to as lifelong learning, is mediated by a rich set of neurocognitive mechanisms that together contribute to the development and specialization of our sensorimotor skills as well as to long-term memory consolidation and retrieval. Consequently, lifelong learning capabilities are crucial for computational learning systems and autonomous agents interacting in the real world and processing continuous streams of information. However, lifelong learning remains a long-standing challenge for machine learning and neural network models since the continual acquisition of incrementally available information from non-stationary data distributions generally leads to catastrophic forgetting or interference. This limitation represents a major drawback for state-of-the-art deep neural network models that typically learn representations from stationary batches of training data, thus without accounting for situations in which information becomes incrementally available over time. In this review, we critically summarize the main challenges linked to lifelong learning for artificial learning systems and compare existing neural network approaches that alleviate, to different extents, catastrophic forgetting. Although significant advances have been made in domain-specific learning with neural networks, extensive research efforts are required for the development of robust lifelong learning on autonomous agents and robots. We discuss well-established and emerging research motivated by lifelong learning factors in biological systems such as structural plasticity, memory replay, curriculum and transfer learning, intrinsic motivation, and multisensory integration.Humans and animals have the ability to continually acquire, fine-tune, and transfer knowledge and skills throughout their lifespan. This ability, referred to as lifelong learning, is mediated by a rich set of neurocognitive mechanisms that together contribute to the development and specialization of our sensorimotor skills as well as to long-term memory consolidation and retrieval. Consequently, lifelong learning capabilities are crucial for computational learning systems and autonomous agents interacting in the real world and processing continuous streams of information. However, lifelong learning remains a long-standing challenge for machine learning and neural network models since the continual acquisition of incrementally available information from non-stationary data distributions generally leads to catastrophic forgetting or interference. This limitation represents a major drawback for state-of-the-art deep neural network models that typically learn representations from stationary batches of training data, thus without accounting for situations in which information becomes incrementally available over time. In this review, we critically summarize the main challenges linked to lifelong learning for artificial learning systems and compare existing neural network approaches that alleviate, to different extents, catastrophic forgetting. Although significant advances have been made in domain-specific learning with neural networks, extensive research efforts are required for the development of robust lifelong learning on autonomous agents and robots. We discuss well-established and emerging research motivated by lifelong learning factors in biological systems such as structural plasticity, memory replay, curriculum and transfer learning, intrinsic motivation, and multisensory integration. |
| Author | Kanan, Christopher Kemker, Ronald Wermter, Stefan Parisi, German I. Part, Jose L. |
| Author_xml | – sequence: 1 givenname: German I. surname: Parisi fullname: Parisi, German I. email: parisi@informatik.uni-hamburg.de organization: Knowledge Technology, Department of Informatics, Universität Hamburg, Germany – sequence: 2 givenname: Ronald orcidid: 0000-0003-4087-4952 surname: Kemker fullname: Kemker, Ronald organization: Chester F. Carlson Center for Imaging Science, Rochester Institute of Technology, NY, USA – sequence: 3 givenname: Jose L. surname: Part fullname: Part, Jose L. organization: Department of Computer Science, Heriot-Watt University, Edinburgh Centre for Robotics, Scotland, UK – sequence: 4 givenname: Christopher orcidid: 0000-0002-6412-995X surname: Kanan fullname: Kanan, Christopher organization: Chester F. Carlson Center for Imaging Science, Rochester Institute of Technology, NY, USA – sequence: 5 givenname: Stefan surname: Wermter fullname: Wermter, Stefan organization: Knowledge Technology, Department of Informatics, Universität Hamburg, Germany |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/30780045$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1109/TCDS.2018.2832844 10.1016/S1364-6613(99)01294-2 10.3389/fnbot.2018.00078 10.1016/j.neuron.2011.05.001 10.1016/j.neunet.2012.09.017 10.1038/81453 10.1111/1467-7687.00104 10.1016/j.neunet.2017.09.001 10.1038/nn.4401 10.1016/j.asoc.2017.03.005 10.1080/095400997116595 10.1109/72.238311 10.1126/science.282.5393.1504 10.1038/3305 10.1016/S1364-6613(02)02005-3 10.1113/jphysiol.1962.sp006837 10.1002/dev.21197 10.1016/j.neucom.2015.09.116 10.1113/jphysiol.1970.sp009022 10.1038/nrn3742 10.1209/0295-5075/1/10/008 10.1111/j.1749-6632.2010.05440.x 10.1007/s12559-016-9389-5 10.1038/nature14251 10.1109/TNNLS.2013.2264952 10.1037/0033-295X.102.3.419 10.1037/a0028681 10.1088/0954-898X_2_4_005 10.1126/science.287.5457.1433 10.1016/j.stem.2018.03.015 10.1080/17588928.2015.1020053 10.1002/ar.1091450409 10.1126/science.1100199 10.1126/science.1164685 10.1080/13506280544000110 10.1016/j.tics.2013.09.001 10.1523/JNEUROSCI.5487-07.2008 10.1109/IJCNN.1991.170605 10.1016/j.tins.2010.01.006 10.1002/dev.20134 10.1037/0033-295X.87.1.1 10.1016/j.neuron.2008.11.026 10.1038/35067562 10.1007/BF00337288 10.1073/pnas.0705454104 10.1073/pnas.1619788114 10.1016/S0893-6080(02)00078-3 10.1146/annurev.neuro.27.070203.144327 10.1038/23270 10.1038/nature25975 10.1146/annurev-neuro-060909-153238 10.1016/j.neunet.2018.07.013 10.1038/4580 10.1523/JNEUROSCI.02-01-00032.1982 10.1023/A:1007331723572 10.1016/j.tics.2004.02.002 10.1073/pnas.1611835114 10.1146/annurev.neuro.28.061604.135751 10.1016/j.tins.2004.12.003 10.1098/rspb.1976.0087 10.1111/j.1467-9922.2006.00355.x 10.1016/j.robot.2012.05.008 10.1037/h0049039 10.1037/0033-295X.115.1.1 10.1109/IROS.2018.8594036 10.1126/science.2762813 10.1016/j.tics.2016.05.004 10.1038/78829 10.1037/0003-066X.52.1.35 10.1016/0921-8890(95)00004-Y 10.1038/nature14539 10.1109/5326.983933 10.1093/brain/124.11.2259 10.1002/jnr.10378 10.1126/science.168.3933.869 10.1016/j.tins.2016.05.003 10.1016/j.neunet.2004.07.004 10.1093/cercor/13.2.155 10.1016/j.neuron.2005.02.001 10.1109/70.294207 10.1098/rstb.1977.0050 10.1111/j.1467-7687.2008.00682.x 10.1080/09540099550039318 10.1109/TEVC.2006.890271 10.1126/science.7638624 10.1016/0010-0277(93)90058-4 10.1016/j.neunet.2017.01.007 10.1037/0033-295X.97.2.285 10.1002/1098-1063(2000)10:4<389::AID-HIPO5>3.0.CO;2-P 10.1038/nrn2822 10.1038/nature20101 10.1038/nn1707 10.1109/CVPR.2017.587 10.1016/0306-4522(93)90335-D 10.1016/j.neuron.2017.06.011 10.1126/science.aam6808 10.1162/neco.1994.6.1.100 10.1109/TKDE.2009.191 10.1007/s00422-014-0628-0 10.1152/jn.1967.30.6.1561 10.1109/MCI.2015.2471196 10.1073/pnas.93.2.602 10.1016/j.cognition.2008.11.014 10.1016/j.neucom.2018.04.015 10.1037/0033-2909.128.4.612 10.1162/jocn.1993.5.2.215 10.1126/science.1205274 10.1006/brln.1997.1820 |
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| Copyright | 2019 The Authors Copyright © 2019 The Authors. Published by Elsevier Ltd.. All rights reserved. |
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| Keywords | Developmental systems Memory consolidation Lifelong learning Catastrophic forgetting Continual learning |
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| References | Burgess, Shapiro, Moore (b22) 1991; 2 Aimone, Wiles, Gage (b5) 2006; 9 Gelbard-Sagiv, Mukamel, Harel, Malach, Fried (b53) 2008; 322 Polikar, Upda, Upda, Honavar (b145) 2001; 31 Baranes, Oudeyer (b10) 2013; 61 Ming, Song (b122) 2011; 70 Nelson (b126) 2000; 3 Braun, Heinz, Schweizer, Weich, Birbaumer, Topka (b20) 2001; 124 Hassabis, Kumaran, Summerfield, Botvinick (b66) 2017; 95 Graves, A., Bellemare, M. G., Menick, J., Munos, R., & Kavukcuoglu, K. (2017). Automated curriculum learning for neural networks,. Aström, Murray (b8) 2010 Achille, A., Rovere, M., & Soatto, S. (2017). Critical Learning Periods in Deep Neural Networks,. Jung, Ju, Jung, Kim (b81) 2018 Marsland, Shapiro, Nehmzow (b112) 2002; 15 Hinton, Plaut (b73) 1987 Fernando, C., Banarse, D., Blundell, C., Zwols, Y., Ha, D., & Rusu, A. A., et al. (2017). Pathnet: Evolution channels gradient descent in super neural networks,. Parisi, Tani, Weber, Wermter (b140) 2017; 96 Gorelick, Blank, Shechtman, Irani, Basri (b58) 2005 Gottlieb, Oudeyer, Lopes, Baranes (b59) 2013; 17 Knoblauch (b88) 2017 Reed, S., & de Freitas, N. (2015). Neural programmer interpreters,. Martinetz, Berkovich, Schulten (b113) 1993; 4 Pan, Yang (b135) 2010; 22 O’Reilly (b129) 2004 Gage (b51) 2000; 287 Eriksson, Perfilieva, Bjork-Eriksson, Alborn, Nordborg, Peterson (b40) 1998; 4 Nadal, Toulouse, Changeux, Dehaene (b125) 1986; 1 Lopez-Paz, Ranzato (b107) 2017 Hubel, Wiesel (b77) 1962; 160 Gepperth, Karaoguz (b55) 2015; 8 Hertz, Krogh, Palmer (b72) 1991 Lüders, Schläger, Risi (b108) 2016 Part, Lemon (b142) 2016 Uylings (b186) 2006; 56 Holyoak, Thagard (b76) 1997; 52 Ring (b155) 1997; 28 Grant, Tanner, Itti (b60) 2017; 88 Parisi, Ji, Wermter (b138) 2018 Power, Schlaggar (b146) 2016; 6 Schmidhuber, J. (1991). Curious model-building control systems. Draelos, Miner, Lamb, Vineyard, Carlson, James (b37) 2017 Mareschal, Johnson, Sirios, Spratling, Thomas, Westermann (b111) 2007 O’Reilly, Norman (b130) 2002; 6 Skinner (b167) 1958; 13 Calvert, Spence, Stein (b23) 2004 Coop, Mishtal, Arel (b28) 2013; 24 Senghas, Kita, Özyürek (b164) 2004; 305 Taupin, Gage (b179) 2002; 69 Robins (b157) 1995; 7 Forestier, Oudeyer (b45) 2016 Kiyota (b87) 2017 Song, Miller, Abbott (b170) 2000; 3 Hasson, Yang, Vallines, Heeger, Rubin (b67) 2008; 28 Doumas, Hummel, Sandhofer (b36) 2008; 115 Hubel, Wiesel (b78) 1967; 30 Soltoggio, A., Stanley, K. O., & Risi, S. (2017). Born to learn: the inspiration, progress, and future of evolved plastic artificial neural networks,. Mici, Parisi, Wermter (b118) 2018; 307 Wermter, Palm, Elshaw (b190) 2005 Abbott, Nelson (b1) 2000; 3 Willshaw, von der Malsburg (b191) 1976; 194 French (b47) 1999; 3 Fusi, Drew, Abbott (b50) 2005; 45 Parisi, G., Barros, P., Fu, D., Magg, S., Wu, H., & Liu, X., et al. (2018). A Neurorobotic Experiment for Crossmodal Conflict Resolution in Complex Environments,. McClelland, McNaughton, O’Reilly (b114) 1995; 102 Zhou, Sohn, Lee (b196) 2012 Xiao, Zhang, Yang, Peng, Zhang (b192) 2014 Hubel, Wiesel (b79) 1970; 206 Hirsch, Spinelli (b75) 1970; 168 Lewkowicz (b103) 2014; 56 Bengio, Louradour, Collobert, Weston (b15) 2009 Gemmeke, Ellis, Freedman, Jansen, Lawrence, Moore (b54) 2017 Hubel, Wiesel, LeVay (b80) 1977; 278 Tessler, Givony, Zahavy, Mankowitz, Mannor (b181) 2017 Mermillod, Bugaiska, Bonin (b116) 2013; 4 Yoon, Yang, Lee, Hwang (b193) 2018 Soltoggio (b168) 2015; 109 Tanneberg, Peters, Rueckert (b178) 2017 Ditzler, Roveri, Alippi, Polikar (b33) 2015; 10 Li, Farkas, McWhinney (b104) 2004; 17 LeCun, Bottou, Bengio, Haffner (b100) 1998 Parisi, Magg, Wermter (b139) 2016 Miikkulainen (b119) 1997; 59 Tse, Takeuchi, Kakeyama, Kajii, Okuno, Tohyama (b184) 2011; 333 Douglas, Koch, Mahowald, Martin, Suarez (b35) 1995; 269 Netzer, Wang, Coates, Bissacco, Wu, Ng (b127) 2011 Ratcliff (b149) 1990; 97 Shatz (b165) 1996; 93 Baldassarre, Mirolli (b9) 2013 Gais, Albouy, Boly, Dang-Vu, Darsaud, Desseilles (b52) 2007; 104 Kirkpatrick, Pascanu, Rabinowitz, Veness, Desjardins, Rusu (b85) 2017; 114 Krueger, Dayan (b93) 2009; 110 Hebb (b68) 1949 Zenke, Gerstner, Ganguli (b194) 2017; 43 Moon, Kim, Wang (b123) 2015 Robins (b156) 1993 French (b46) 1997; 9 LeCun, Bengio, Hinton (b99) 2015; 521 Mici, L., Parisi, G. I., & Wermter, S. (2017). An Incremental Self-Organizing Architecture for Sensorimotor Learning and Prediction,. Ren, Wang, Li, Gao (b153) 2017; 56 Heeger (b69) 2017; 114 Palatucci, Pomerleau, Hinton, Mitchell (b133) 2009 Rebuffi, S. A., Kolesnikov, A., Sperl, G., & Lampert, C. H. (2016). iCaRL: Incremental Classifier and Representation Learning,. McCloskey, Cohen (b115) 1989; 24 Abraham, Robins (b2) 2005; 28 Zenke, Poole, Ganguli (b195) 2017 Thrun, Mitchell (b183) 1995; 15 Li, Hoiem (b105) 2016 Rusu, Vecerik, Rothörl, Heess, Pascanu, Hadsell (b159) 2017 Aimone, Wiles, Gage (b6) 2009; 61 Barnett, Ceci (b11) 2002; 128 Parisi, G., Tani, J., Weber, C., & Wermter, S. (2018). Lifelong Learning of Spatiotemporal Representations with Dual-Memory Recurrent Self-Organization,. Pallier, Dehaene, Poline, LeBihan, Argenti, Dupoux (b134) 2003; 13 Thomas, Johnson (b182) 2006; 48 Kulkarni, T., Narasimhan, K., Saeedi, A., & Tenenbaum, J. (2016). Hierarchical deep reinforcement learning: integrating temporal abstraction and intrinsic motivation,. Donahue, Jia, Vinyals, Hoffman, Zhang, Tzeng (b34) 2014 Kumaran, Hassabis, McClelland (b95) 2016; 20 Spence (b173) 2014 Goodfellow, I. J., Mirza, M., Xiao, D., Courville, A., & Bengio, Y. (2013). An empirical investigation of catastrophic forgetting in gradient-based neural networks,. Krizhevsky (b92) 2009 Marchman (b110) 1993; 5 Spence (b172) 2010; 1191 Sur, Leamey (b176) 2001; 2 Lewandowsky, Li (b102) 1994 Grossberg (b64) 2012; 37 Deng, Aimone, Gage (b32) 2010; 11 Sanger (b160) 1994; 10 Kemker, Kanan (b83) 2018 Davis (b31) 2006; 29 Shin, Lee, Kim, Kim (b166) 2017 Weiss, Khoshgoftaar, Wang (b189) 2016; 3 Hensch, Fagiolini, Mataga, Stryker, Baekkeskov, Kash (b71) 1998; 282 Dai, Yang, Xue, Yu (b30) 2007 Altman (b7) 1963; 145 Oudeyer, Kaplan, Hafner (b132) 2007; 11 O’Reilly, Rudy (b131) 2000; 10 Rao, Ballard (b148) 1999; 2 Taylor, Hobbs, Burroni, Siegelmann (b180) 2015; 5 Rusu, A. A., Rabinowitz, N. C., Desjardins, G., Soyer, H., Kirkpatrick, J., & Kavukcuoglu, K., et al. (2016). Progressive Neural Networks,. Benna, Fusi (b16) 2016; 19 Cortes, C., Gonzalvo, X., Kuznetsov, V., Mohri, M., & Yang, S. (2016). AdaNet: Adaptive structural learning of artificial neural networks,. Richardson, Thomas (b154) 2008; 11 Miller, Keller, Stryker (b120) 1989; 245 Guo, Liu, Oerlemans, Lao, Wu, Lew (b65) 2016; 187 Cameron, Woolley, McEwen, Gould (b24) 1993; 56 Cangelosi, Schlesinger (b25) 2015 Miller, MacKay (b121) 1994; 6 Razavian, Azizpour, Sullivan, Carlsson (b150) 2014 Stein, Meredith (b174) 1993 Gopnik, Meltzoff, Kuhl (b57) 1999 Kohonen (b90) 1982; 43 Boldrini, Fulmore, Tartt, Simeon, Pavlova (b18) 2018; 22 Stein, Stanford, Rowland (b175) 2014; 15 Adams, Friston, Bastos (b4) 2015 Hinton, Vinyals, Dean (b74) 2014 Fritzke (b49) 1992 Parisi, Barros, Kerzel, Wu, Yang, Li (b137) 2017 Schuldt, Laptev, Caputo (b162) 2004 Barros, Parisi, Fu, Liu, Wermter (b12) 2017 Ernst, Bülthoff (b41) 2004; 8 Fei-Fei, Fergus, Perona (b42) 2003 Hensch (b70) 2004; 27 Elman (b39) 1993; 48 Tani (b177) 2016 Murray, Lewkowicz, Amedi, Wallace (b124) 2016; 39 Kemker, McClure, Abitino, Hayes, Kanan (b84) 2018 Part, Lemon (b143) 2017 Kitamura, Ogawa, Roy, Okuyama, Morrissey, Smith (b86) 2017; 356 Lenneberg (b101) 1967 Vinyals, Blundell, Lillicrap, Wierstra (b187) 2016 Quadrato, Elnaggar, Di Giovanni (b147) 2014; 8 Chen, Spence (b26) 2017; 8 Kumaran, McClelland (b96) 2012; 119 Lambon Ralph, Ehsan (b97) 2006; 13 Lomonaco, Maltoni (b106) 2017 Wah, Branson, Welinder, Perona, Belongie (b188) 2011 Seidenberg, Zevin (b163) 2006 Lampert, Nickisch, Harmeling (b98) 2009 Bienenstock, Cooper, Munro (b17) 1982; 2 Kohonen (b91) 1995 Kamra, N., Gupta, U., & Liu, Y. (2018). Deep Generative Dual Memory Network for Continual Learning,. Graves, Wayne, Reynolds, Harley, Danihelka, Grabska-Barwinska (b62) 2016; 538 Forestier, S., Mollard, Y., & Oudeyer, P. Y. (2017). Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning,. Friston, Rigoli, Ognibene, Mathys, Fitzgerald, Pezzulo (b48) 2015; 6 Cichon, Gan (b27) 2015; 520 Turrigiano (b185) 2011; 34 Knoblauch, Körner, Krner, Sommer (b89) 2014; 9:e96485 Pathak, Agrawal, Efros, Darrell (b144) 2017 Maltoni, D., & Lomonaco, V. (2018). Continuous Learning in Single-Incremental-Task Scenarios.,. Bellemare, Srinivasan, Ostrovski, Schaul, Saxton, Munos (b14) 2016 Bontempi, Laurent-Demir, Destrade, Jaffard (b19) 1999; 400 Barto (b13) 2013 Bremner, Lewkowicz, Spence (b21) 2012 Sorrells, Paredes, Arantxa, Sandoval, Dashi, Kelley (b171) 2018; 555 Elfaramawy, Barros, Parisi, Wermter (b38) 2017 O’Neill, Pleydell-Bouverie, Dupret, Csicsvari (b128) 2010; 33 Grossberg (b63) 1980; 87 Part (10.1016/j.neunet.2019.01.012_b142) 2016 Cameron (10.1016/j.neunet.2019.01.012_b24) 1993; 56 Gage (10.1016/j.neunet.2019.01.012_b51) 2000; 287 Rao (10.1016/j.neunet.2019.01.012_b148) 1999; 2 Baranes (10.1016/j.neunet.2019.01.012_b10) 2013; 61 Guo (10.1016/j.neunet.2019.01.012_b65) 2016; 187 Hertz (10.1016/j.neunet.2019.01.012_b72) 1991 Aimone (10.1016/j.neunet.2019.01.012_b6) 2009; 61 Lambon Ralph (10.1016/j.neunet.2019.01.012_b97) 2006; 13 Robins (10.1016/j.neunet.2019.01.012_b157) 1995; 7 Willshaw (10.1016/j.neunet.2019.01.012_b191) 1976; 194 Marchman (10.1016/j.neunet.2019.01.012_b110) 1993; 5 Gorelick (10.1016/j.neunet.2019.01.012_b58) 2005 Calvert (10.1016/j.neunet.2019.01.012_b23) 2004 Jung (10.1016/j.neunet.2019.01.012_b81) 2018 Palatucci (10.1016/j.neunet.2019.01.012_b133) 2009 Gopnik (10.1016/j.neunet.2019.01.012_b57) 1999 Bienenstock (10.1016/j.neunet.2019.01.012_b17) 1982; 2 Hassabis (10.1016/j.neunet.2019.01.012_b66) 2017; 95 Parisi (10.1016/j.neunet.2019.01.012_b138) 2018 Benna (10.1016/j.neunet.2019.01.012_b16) 2016; 19 Lewandowsky (10.1016/j.neunet.2019.01.012_b102) 1994 Ren (10.1016/j.neunet.2019.01.012_b153) 2017; 56 Quadrato (10.1016/j.neunet.2019.01.012_b147) 2014; 8 Krizhevsky (10.1016/j.neunet.2019.01.012_b92) 2009 Eriksson (10.1016/j.neunet.2019.01.012_b40) 1998; 4 Doumas (10.1016/j.neunet.2019.01.012_b36) 2008; 115 Tanneberg (10.1016/j.neunet.2019.01.012_b178) 2017 Graves (10.1016/j.neunet.2019.01.012_b62) 2016; 538 Lewkowicz (10.1016/j.neunet.2019.01.012_b103) 2014; 56 Lopez-Paz (10.1016/j.neunet.2019.01.012_b107) 2017 Kirkpatrick (10.1016/j.neunet.2019.01.012_b85) 2017; 114 10.1016/j.neunet.2019.01.012_b29 Nelson (10.1016/j.neunet.2019.01.012_b126) 2000; 3 Miller (10.1016/j.neunet.2019.01.012_b121) 1994; 6 Barnett (10.1016/j.neunet.2019.01.012_b11) 2002; 128 Knoblauch (10.1016/j.neunet.2019.01.012_b88) 2017 10.1016/j.neunet.2019.01.012_b43 Parisi (10.1016/j.neunet.2019.01.012_b140) 2017; 96 Dai (10.1016/j.neunet.2019.01.012_b30) 2007 Deng (10.1016/j.neunet.2019.01.012_b32) 2010; 11 Bengio (10.1016/j.neunet.2019.01.012_b15) 2009 Spence (10.1016/j.neunet.2019.01.012_b173) 2014 Polikar (10.1016/j.neunet.2019.01.012_b145) 2001; 31 LeCun (10.1016/j.neunet.2019.01.012_b100) 1998 Hirsch (10.1016/j.neunet.2019.01.012_b75) 1970; 168 Sanger (10.1016/j.neunet.2019.01.012_b160) 1994; 10 Donahue (10.1016/j.neunet.2019.01.012_b34) 2014 Draelos (10.1016/j.neunet.2019.01.012_b37) 2017 Skinner (10.1016/j.neunet.2019.01.012_b167) 1958; 13 Murray (10.1016/j.neunet.2019.01.012_b124) 2016; 39 Altman (10.1016/j.neunet.2019.01.012_b7) 1963; 145 10.1016/j.neunet.2019.01.012_b44 Weiss (10.1016/j.neunet.2019.01.012_b189) 2016; 3 Parisi (10.1016/j.neunet.2019.01.012_b139) 2016 Spence (10.1016/j.neunet.2019.01.012_b172) 2010; 1191 10.1016/j.neunet.2019.01.012_b61 Richardson (10.1016/j.neunet.2019.01.012_b154) 2008; 11 Lüders (10.1016/j.neunet.2019.01.012_b108) 2016 Hubel (10.1016/j.neunet.2019.01.012_b78) 1967; 30 O’Reilly (10.1016/j.neunet.2019.01.012_b129) 2004 Seidenberg (10.1016/j.neunet.2019.01.012_b163) 2006 Kitamura (10.1016/j.neunet.2019.01.012_b86) 2017; 356 10.1016/j.neunet.2019.01.012_b56 Thrun (10.1016/j.neunet.2019.01.012_b183) 1995; 15 10.1016/j.neunet.2019.01.012_b109 Pallier (10.1016/j.neunet.2019.01.012_b134) 2003; 13 Schuldt (10.1016/j.neunet.2019.01.012_b162) 2004 Parisi (10.1016/j.neunet.2019.01.012_b137) 2017 Stein (10.1016/j.neunet.2019.01.012_b175) 2014; 15 Kohonen (10.1016/j.neunet.2019.01.012_b90) 1982; 43 Tse (10.1016/j.neunet.2019.01.012_b184) 2011; 333 Forestier (10.1016/j.neunet.2019.01.012_b45) 2016 Barto (10.1016/j.neunet.2019.01.012_b13) 2013 Knoblauch (10.1016/j.neunet.2019.01.012_b89) 2014; 9:e96485 Hubel (10.1016/j.neunet.2019.01.012_b80) 1977; 278 Ditzler (10.1016/j.neunet.2019.01.012_b33) 2015; 10 Elman (10.1016/j.neunet.2019.01.012_b39) 1993; 48 O’Reilly (10.1016/j.neunet.2019.01.012_b130) 2002; 6 Li (10.1016/j.neunet.2019.01.012_b104) 2004; 17 Hensch (10.1016/j.neunet.2019.01.012_b70) 2004; 27 Uylings (10.1016/j.neunet.2019.01.012_b186) 2006; 56 10.1016/j.neunet.2019.01.012_b82 Yoon (10.1016/j.neunet.2019.01.012_b193) 2018 Oudeyer (10.1016/j.neunet.2019.01.012_b132) 2007; 11 Kumaran (10.1016/j.neunet.2019.01.012_b96) 2012; 119 Coop (10.1016/j.neunet.2019.01.012_b28) 2013; 24 Heeger (10.1016/j.neunet.2019.01.012_b69) 2017; 114 McClelland (10.1016/j.neunet.2019.01.012_b114) 1995; 102 Pan (10.1016/j.neunet.2019.01.012_b135) 2010; 22 Ratcliff (10.1016/j.neunet.2019.01.012_b149) 1990; 97 Braun (10.1016/j.neunet.2019.01.012_b20) 2001; 124 Netzer (10.1016/j.neunet.2019.01.012_b127) 2011 Mareschal (10.1016/j.neunet.2019.01.012_b111) 2007 10.1016/j.neunet.2019.01.012_b94 O’Neill (10.1016/j.neunet.2019.01.012_b128) 2010; 33 Mici (10.1016/j.neunet.2019.01.012_b118) 2018; 307 Razavian (10.1016/j.neunet.2019.01.012_b150) 2014 Abraham (10.1016/j.neunet.2019.01.012_b2) 2005; 28 10.1016/j.neunet.2019.01.012_b136 Burgess (10.1016/j.neunet.2019.01.012_b22) 1991; 2 Gepperth (10.1016/j.neunet.2019.01.012_b55) 2015; 8 French (10.1016/j.neunet.2019.01.012_b46) 1997; 9 Ring (10.1016/j.neunet.2019.01.012_b155) 1997; 28 Kiyota (10.1016/j.neunet.2019.01.012_b87) 2017 10.1016/j.neunet.2019.01.012_b141 Hensch (10.1016/j.neunet.2019.01.012_b71) 1998; 282 Taylor (10.1016/j.neunet.2019.01.012_b180) 2015; 5 Miller (10.1016/j.neunet.2019.01.012_b120) 1989; 245 Sorrells (10.1016/j.neunet.2019.01.012_b171) 2018; 555 Gelbard-Sagiv (10.1016/j.neunet.2019.01.012_b53) 2008; 322 Kohonen (10.1016/j.neunet.2019.01.012_b91) 1995 Bontempi (10.1016/j.neunet.2019.01.012_b19) 1999; 400 Hinton (10.1016/j.neunet.2019.01.012_b73) 1987 Bellemare (10.1016/j.neunet.2019.01.012_b14) 2016 Fei-Fei (10.1016/j.neunet.2019.01.012_b42) 2003 Davis (10.1016/j.neunet.2019.01.012_b31) 2006; 29 Barros (10.1016/j.neunet.2019.01.012_b12) 2017 Aimone (10.1016/j.neunet.2019.01.012_b5) 2006; 9 Lampert (10.1016/j.neunet.2019.01.012_b98) 2009 Tani (10.1016/j.neunet.2019.01.012_b177) 2016 10.1016/j.neunet.2019.01.012_b117 Baldassarre (10.1016/j.neunet.2019.01.012_b9) 2013 Hinton (10.1016/j.neunet.2019.01.012_b74) 2014 Grossberg (10.1016/j.neunet.2019.01.012_b63) 1980; 87 Aström (10.1016/j.neunet.2019.01.012_b8) 2010 Cangelosi (10.1016/j.neunet.2019.01.012_b25) 2015 Power (10.1016/j.neunet.2019.01.012_b146) 2016; 6 O’Reilly (10.1016/j.neunet.2019.01.012_b131) 2000; 10 Hebb (10.1016/j.neunet.2019.01.012_b68) 1949 Fritzke (10.1016/j.neunet.2019.01.012_b49) 1992 Gais (10.1016/j.neunet.2019.01.012_b52) 2007; 104 Adams (10.1016/j.neunet.2019.01.012_b4) 2015 Taupin (10.1016/j.neunet.2019.01.012_b179) 2002; 69 Cichon (10.1016/j.neunet.2019.01.012_b27) 2015; 520 Hubel (10.1016/j.neunet.2019.01.012_b79) 1970; 206 Krueger (10.1016/j.neunet.2019.01.012_b93) 2009; 110 Abbott (10.1016/j.neunet.2019.01.012_b1) 2000; 3 Elfaramawy (10.1016/j.neunet.2019.01.012_b38) 2017 Robins (10.1016/j.neunet.2019.01.012_b156) 1993 Marsland (10.1016/j.neunet.2019.01.012_b112) 2002; 15 Zenke (10.1016/j.neunet.2019.01.012_b194) 2017; 43 Hasson (10.1016/j.neunet.2019.01.012_b67) 2008; 28 Zhou (10.1016/j.neunet.2019.01.012_b196) 2012 Kemker (10.1016/j.neunet.2019.01.012_b84) 2018 Pathak (10.1016/j.neunet.2019.01.012_b144) 2017 LeCun (10.1016/j.neunet.2019.01.012_b99) 2015; 521 Kumaran (10.1016/j.neunet.2019.01.012_b95) 2016; 20 Miikkulainen (10.1016/j.neunet.2019.01.012_b119) 1997; 59 Grant (10.1016/j.neunet.2019.01.012_b60) 2017; 88 Douglas (10.1016/j.neunet.2019.01.012_b35) 1995; 269 Rusu (10.1016/j.neunet.2019.01.012_b159) 2017 Holyoak (10.1016/j.neunet.2019.01.012_b76) 1997; 52 French (10.1016/j.neunet.2019.01.012_b47) 1999; 3 Boldrini (10.1016/j.neunet.2019.01.012_b18) 2018; 22 Friston (10.1016/j.neunet.2019.01.012_b48) 2015; 6 Turrigiano (10.1016/j.neunet.2019.01.012_b185) 2011; 34 Shatz (10.1016/j.neunet.2019.01.012_b165) 1996; 93 Xiao (10.1016/j.neunet.2019.01.012_b192) 2014 Mermillod (10.1016/j.neunet.2019.01.012_b116) 2013; 4 Ming (10.1016/j.neunet.2019.01.012_b122) 2011; 70 Soltoggio (10.1016/j.neunet.2019.01.012_b168) 2015; 109 Shin (10.1016/j.neunet.2019.01.012_b166) 2017 Sur (10.1016/j.neunet.2019.01.012_b176) 2001; 2 Chen (10.1016/j.neunet.2019.01.012_b26) 2017; 8 McCloskey (10.1016/j.neunet.2019.01.012_b115) 1989; 24 Zenke (10.1016/j.neunet.2019.01.012_b195) 2017 Song (10.1016/j.neunet.2019.01.012_b170) 2000; 3 Martinetz (10.1016/j.neunet.2019.01.012_b113) 1993; 4 10.1016/j.neunet.2019.01.012_b152 Hubel (10.1016/j.neunet.2019.01.012_b77) 1962; 160 10.1016/j.neunet.2019.01.012_b151 Bremner (10.1016/j.neunet.2019.01.012_b21) 2012 10.1016/j.neunet.2019.01.012_b158 Grossberg (10.1016/j.neunet.2019.01.012_b64) 2012; 37 Vinyals (10.1016/j.neunet.2019.01.012_b187) 2016 Li (10.1016/j.neunet.2019.01.012_b105) 2016 Stein (10.1016/j.neunet.2019.01.012_b174) 1993 Moon (10.1016/j.neunet.2019.01.012_b123) 2015 Lomonaco (10.1016/j.neunet.2019.01.012_b106) 2017 Tessler (10.1016/j.neunet.2019.01.012_b181) 2017 Nadal (10.1016/j.neunet.2019.01.012_b125) 1986; 1 Thomas (10.1016/j.neunet.2019.01.012_b182) 2006; 48 Part (10.1016/j.neunet.2019.01.012_b143) 2017 Ernst (10.1016/j.neunet.2019.01.012_b41) 2004; 8 Gemmeke (10.1016/j.neunet.2019.01.012_b54) 2017 Wah (10.1016/j.neunet.2019.01.012_b188) 2011 Fusi (10.1016/j.neunet.2019.01.012_b50) 2005; 45 10.1016/j.neunet.2019.01.012_b161 Kemker (10.1016/j.neunet.2019.01.012_b83) 2018 10.1016/j.neunet.2019.01.012_b169 Wermter (10.1016/j.neunet.2019.01.012_b190) 2005 Lenneberg (10.1016/j.neunet.2019.01.012_b101) 1967 Senghas (10.1016/j.neunet.2019.01.012_b164) 2004; 305 10.1016/j.neunet.2019.01.012_b3 Gottlieb (10.1016/j.neunet.2019.01.012_b59) 2013; 17 |
| References_xml | – volume: 282 start-page: 1504 year: 1998 end-page: 1508 ident: b71 article-title: Local gaba circuit control of experience-dependent plasticity in developing visual cortex publication-title: Science – volume: 7 start-page: 123 year: 1995 end-page: 146 ident: b157 article-title: CaTastrophic forgetting, rehearsal and pseudorehearsal publication-title: Connection Science – volume: 20 start-page: 512 year: 2016 end-page: 534 ident: b95 article-title: What learning systems do intelligent agents need? Complementary learning systems theory updated publication-title: Trends in Cognitive Sciences – year: 2011 ident: b188 article-title: CaLtech-UCSD birds-200-2011 dataset publication-title: Tech Report: CNS-TR-2011-001 – volume: 11 start-page: 339 year: 2010 end-page: 350 ident: b32 article-title: New neurons and new memories: how does adult hippocampal neurogenesis affect learning and memory? publication-title: Nature Reviews Neuroscience – year: 2017 ident: b143 article-title: Incremental online learning of objects for robots operating in real environments publication-title: ICDL-EPIROB’17 – start-page: 41 year: 2009 end-page: 48 ident: b15 article-title: Curriculum learning publication-title: ICML’09 – volume: 28 start-page: 73 year: 2005 end-page: 78 ident: b2 article-title: Memory retention and weight plasticity in ANN simulations publication-title: Trends in Neurosciences – volume: 322 start-page: 96 year: 2008 end-page: 101 ident: b53 article-title: Internally generated reactivation of single neurons in human hippocampus during free recall publication-title: Science – volume: 24 start-page: 104 year: 1989 end-page: 169 ident: b115 article-title: CaTastrophic interference in connectionist networks: The sequential learning problem publication-title: The Psychology of Learning & Motivation – volume: 305 start-page: 1779 year: 2004 end-page: 1782 ident: b164 article-title: Children creating core properties of language: Evidence from an emerging sign language in nicaragua publication-title: Science – volume: 93 start-page: 602 year: 1996 end-page: 608 ident: b165 article-title: Emergence of order in visual system development publication-title: Proceedings of the National Academy of Sciences – volume: 2 start-page: 32 year: 1982 end-page: 48 ident: b17 article-title: Theory for the development of neuron selectivity: orientation specificity and binocular interaction in visual cortex publication-title: The Journal of Neuroscience – year: 1995 ident: b91 article-title: Self-organizing maps – year: 2005 ident: b190 article-title: Biomimetic neural learning for intelligent robots – volume: 27 start-page: 549 year: 2004 end-page: 579 ident: b70 article-title: Critical period regulation publication-title: Annual Review of Neuroscience – reference: Maltoni, D., & Lomonaco, V. (2018). Continuous Learning in Single-Incremental-Task Scenarios.,. – year: 2009 ident: b133 article-title: Zero-shot learning with semantic output codes publication-title: NIPS’09 – year: 2003 ident: b42 article-title: A Bayesian approach to unsupervised one-shot learning of object categories publication-title: ICCV’03 – volume: 307 start-page: 14 year: 2018 end-page: 24 ident: b118 article-title: A self-organizing neural network architecture for learning human-object interactions publication-title: Neurocomputing – volume: 3 start-page: 919 year: 2000 end-page: 926 ident: b170 article-title: Competitive hebbian learning through spike-timing-dependent synaptic plasticity publication-title: Nature Neuroscience – year: 1998 ident: b100 article-title: Gradient-based learning applied to document recognition publication-title: In Proceedings of the IEEE – volume: 102 start-page: 419 year: 1995 end-page: 457 ident: b114 article-title: Why there are complementary learning systems in the hippocampus and neocortex: Insights from the successes and failures of connectionist models of learning and memory publication-title: Psychological Review – start-page: 526 year: 2017 end-page: 533 ident: b37 article-title: Neurogenesis deep learning publication-title: IJCNN’17 – volume: 43 start-page: 59 year: 1982 end-page: 69 ident: b90 article-title: Self-organized formation of topologically correct feature maps publication-title: Biological Cybernetics – year: 2016 ident: b142 article-title: Incremental on-line learning of object classes using a combination of self-organizing incremental neural networks and deep convolutional neural networks publication-title: IROS’16, workshop on bio-inspired social robot learning in home scenarios – volume: 34 start-page: 89 year: 2011 end-page: 103 ident: b185 article-title: Too many cooks? Intrinsic and synaptic homeostatic mechanisms in cortical circuit refinement publication-title: Annual Review of Neuroscience – start-page: 1453 year: 2012 end-page: 1461 ident: b196 article-title: Online incremental feature learning with denoising autoencoders publication-title: International conference on artificial intelligence and statistics – volume: 356 start-page: 73 year: 2017 end-page: 78 ident: b86 article-title: Engrams and circuits crucial for systems consolidation of a memory publication-title: Science – year: 2017 ident: b166 article-title: Continual learning with deep generative replay publication-title: NIPS’17 – start-page: 625 year: 1992 end-page: 632 ident: b49 article-title: A growing neural gas network learns topologies publication-title: NIPS’95, vol. 7 – reference: Cortes, C., Gonzalvo, X., Kuznetsov, V., Mohri, M., & Yang, S. (2016). AdaNet: Adaptive structural learning of artificial neural networks,. – volume: 10 start-page: 12 year: 2015 end-page: 25 ident: b33 article-title: Learning in nonstationary environments: A survey publication-title: IEEE Computational Intelligence Magazine – volume: 30 start-page: 1561 year: 1967 end-page: 1573 ident: b78 article-title: Cortical and callosal connections concerned with the vertical meridian of visual fields in the cat publication-title: Journal of Neurophysiology – start-page: 177 year: 2014 end-page: 186 ident: b192 article-title: Error-driven incremental learning in deep convolutional neural network for large-scale image classification publication-title: Proceedings of the ACM International Conference on Multimedia, Orlando, FL – year: 1967 ident: b101 article-title: Biological foundations of language – volume: 61 start-page: 187 year: 2009 end-page: 202 ident: b6 article-title: Computational influence of adult neurogenesis on memory encoding. publication-title: Neuron – year: 2016 ident: b177 article-title: Exploring robotic minds: Actions, Symbols, and consciousness a self-organizing dynamic phenomena – volume: 2 start-page: 79 year: 1999 end-page: 87 ident: b148 article-title: Predictive coding in the visual cortex: A functional interpretation of some extra-classical receptive-field effects publication-title: Nature Neuroscience – volume: 8 start-page: 162 year: 2004 end-page: 169 ident: b41 article-title: Merging the senses into a robust percept publication-title: Trends in Cognitive Sciences – volume: 15 start-page: 520 year: 2014 end-page: 535 ident: b175 article-title: Development of multisensory integration from the perspective of the individual neuron publication-title: Nature Reviews Neuroscience – year: 2009 ident: b92 article-title: Learning multiple layers of features from tiny images – reference: Kamra, N., Gupta, U., & Liu, Y. (2018). Deep Generative Dual Memory Network for Continual Learning,. – start-page: 446 year: 2014 end-page: 471 ident: b173 article-title: Orienting attention: A crossmodal perspective publication-title: The Oxford handbook of attention – volume: 6 start-page: 100 year: 1994 end-page: 126 ident: b121 article-title: The role of constraints in hebbian learning publication-title: Neural Computation – volume: 88 start-page: 32 year: 2017 end-page: 48 ident: b60 article-title: Biologically plausible learning in neural networks with modulatory feedback publication-title: Neural Networks – start-page: 33 year: 2017 end-page: 38 ident: b137 article-title: A computational model of crossmodal processing for conflict resolution publication-title: ICDL-EPIROB’17 – volume: 48 start-page: 337 year: 2006 end-page: 344 ident: b182 article-title: The computational modelling of sensitive periods publication-title: Developmental Psychobiology – volume: 56 start-page: 59 year: 2006 end-page: 90 ident: b186 article-title: Development of the human cortex and the concept of critical or sensitive periods publication-title: Language Learning – volume: 4 year: 2013 ident: b116 article-title: The stability-plasticity dilemma: Investigating the continuum from Catastrophic forgetting to age-limited learning effects publication-title: Frontiers in Psychology – volume: 95 start-page: 245 year: 2017 end-page: 258 ident: b66 article-title: Neuroscience-inspired artificial intelligence publication-title: Neuron Review – year: 2018 ident: b193 article-title: Lifelong learning with dynamically expandable networks publication-title: ICLR’18 – volume: 115 start-page: 1 year: 2008 end-page: 43 ident: b36 article-title: A theory of the discovery and predication of relational concepts publication-title: Psychological Review – volume: 194 start-page: 431 year: 1976 end-page: 445 ident: b191 article-title: How patterned neural connections can be set up by self-organization publication-title: Proceedings of the Royal Society of London B: Biological Sciences – year: 2009 ident: b98 article-title: Learning to detect unseen object classes by between-class attribute transfer publication-title: CVPR’09 – year: 2017 ident: b159 article-title: Sim-to-real robot learning from pixels with progressive nets publication-title: CoRL’17 – volume: 8 start-page: 924 year: 2015 end-page: 934 ident: b55 article-title: A bio-inspired incremental learning architecture for applied perceptual problems publication-title: Cognitive Computation – volume: 28 start-page: 2539 year: 2008 end-page: 2550 ident: b67 article-title: A hierarchy of temporal receptive windows in human cortex publication-title: The Journal of Neuroscience – year: 2017 ident: b195 article-title: Continual learning through synaptic intelligence – start-page: 17 year: 2013 end-page: 47 ident: b13 article-title: Intrinsic motivation and reinforcement learning publication-title: Intrinsically motivated learning in natural and artificial systems – volume: 37 start-page: 1 year: 2012 end-page: 41 ident: b64 article-title: Adaptive resonance theory: how a brain learns to consciously attend, learn, and recognize a changing world. publication-title: Neural Networks – volume: 56 start-page: 398 year: 2017 end-page: 404 ident: b153 article-title: Life-long learning based on dynamic combination model publication-title: Applied Soft Computing – start-page: 315 year: 2006 end-page: 347 ident: b163 article-title: Connectionist models in developmental cognitive neuroscience: Critical periods and the paradox of success publication-title: Processes of change in brain and cognitive development: Attention and Performance XXI – volume: 521 start-page: 436 year: 2015 end-page: 444 ident: b99 article-title: Deep learning publication-title: Nature – volume: 22 start-page: 589 year: 2018 end-page: 599 ident: b18 article-title: Human hippocampal neurogenesis persists throughout aging publication-title: Cell Stem Cell – reference: Parisi, G., Tani, J., Weber, C., & Wermter, S. (2018). Lifelong Learning of Spatiotemporal Representations with Dual-Memory Recurrent Self-Organization,. – volume: 1191 start-page: 182 year: 2010 end-page: 200 ident: b172 article-title: Crossmodal spatial attention publication-title: Annals of the New York Academy of Sciences – volume: 24 start-page: 1623 year: 2013 end-page: 1634 ident: b28 article-title: Ensemble learning in fixed expansion layer networks for mitigating catastrophic forgetting publication-title: IEEE Transactions on Neural Networks & Learning Systems – volume: 538 start-page: 471 year: 2016 end-page: 476 ident: b62 article-title: Hybrid computing using a neural network with dynamic external memory publication-title: Nature – start-page: 361 year: 2017 end-page: 386 ident: b88 article-title: Impact of structural plasticity on memory formation and decline publication-title: Rewiring the brain: A computational approach to structural plasticity in the adult brain – year: 2017 ident: b106 article-title: Core50: A new dataset and benchmark for continuous object recognition publication-title: CoRL – volume: 8 year: 2014 ident: b147 article-title: Adult neurogenesis in brain repair: Cellular plasticity vs. cellular replacement publication-title: Frontiers in Neuroscience – reference: Rebuffi, S. A., Kolesnikov, A., Sperl, G., & Lampert, C. H. (2016). iCaRL: Incremental Classifier and Representation Learning,. – volume: 145 start-page: 573 year: 1963 end-page: 591 ident: b7 article-title: Autoradiographic investigation of cell proliferation in the brains of rats and cats publication-title: The Anatomical Record – year: 2017 ident: b54 article-title: Audio set: An ontology and human-labeled dataset for audio events publication-title: ICASSP’17 – volume: 10 start-page: 389 year: 2000 end-page: 397 ident: b131 article-title: Computational principles of learning in the neocortex and hippocampus publication-title: Hippocampus – year: 2016 ident: b14 article-title: Unifying count-based exploration and intrinsic motivation publication-title: NIPS’16 – volume: 555 start-page: 377 year: 2018 end-page: 381 ident: b171 article-title: Human hippocampal neurogenesis drops sharply in children to undetectable levels in adults publication-title: Nature – year: 1994 ident: b102 article-title: CaTastrophic interference in neural networks: Causes, solutions, and data publication-title: New perspectives on interference and inhibition in cognition – start-page: 32 year: 2004 end-page: 36 ident: b162 article-title: Recognizing human actions: A local SVM approach publication-title: ICPR’04 – year: 2017 ident: b107 article-title: Gradient episodic memory for continual learning publication-title: NIPS’17 – volume: 8 year: 2017 ident: b26 article-title: Assessing the role of the unity assumption on multisensory integration: a review publication-title: Frontiers in Psychology – volume: 206 start-page: 419 year: 1970 end-page: 436 ident: b79 article-title: The period of susceptibility to the psychological effects of unilateral eye closure in kittens publication-title: Journal Physiology – volume: 168 start-page: 869 year: 1970 end-page: 871 ident: b75 article-title: Visual experience modifies distribution of horizontally and vertically oriented receptive fields in cats publication-title: Science – volume: 87 start-page: 1 year: 1980 end-page: 51 ident: b63 article-title: How does a brain build a cognitive code? publication-title: Psychology Review – volume: 114 start-page: 3521 year: 2017 end-page: 3526 ident: b85 article-title: Overcoming catastrophic forgetting in neural networks publication-title: Proceedings of the National Academy of Sciences – volume: 333 start-page: 891 year: 2011 end-page: 895 ident: b184 article-title: Schema-dependent gene activation and memory encoding in neocortex publication-title: Science – start-page: 193 year: 2007 end-page: 200 ident: b30 article-title: Boosting for transfer learning publication-title: ICML’17 – year: 2018 ident: b84 article-title: Measuring catastrophic forgetting in neural networks publication-title: AAAI’18 – reference: Kulkarni, T., Narasimhan, K., Saeedi, A., & Tenenbaum, J. (2016). Hierarchical deep reinforcement learning: integrating temporal abstraction and intrinsic motivation,. – volume: 13 start-page: 928 year: 2006 end-page: 948 ident: b97 article-title: Age of acquisition effects depend on the mapping between representations and the frequency of occurrence: empirical and computational evidence publication-title: Visual Cognition – volume: 5 year: 2015 ident: b180 article-title: The global landscape of cognition: hierarchical aggregation as an organizational principle of human cortical networks and functions publication-title: Scientific Reports – year: 2014 ident: b34 article-title: Decaf: A deep convolutional activation feature for generic visual recognition publication-title: ICML’14 – year: 2013 ident: b9 article-title: Intrinsically motivated learning in natural and artificial systems – volume: 29 start-page: 307 year: 2006 end-page: 323 ident: b31 article-title: Homeostatic control of neural activity: from phenomenology to molecular design publication-title: Annual Review of Neuroscience – volume: 6 start-page: 505 year: 2002 end-page: 510 ident: b130 article-title: Hippocampal and neocortical contributions to memory: Advances in the complementary learning systems framework publication-title: Trends in Cognitive Sciences – volume: 128 start-page: 612 year: 2002 end-page: 637 ident: b11 article-title: When and where do we apply what we learn? a taxonomy for far transfer publication-title: Psychological Bulletin – volume: 48 start-page: 71 year: 1993 end-page: 99 ident: b39 article-title: Learning and development in neural networks: The importance of starting small publication-title: Cognition – volume: 22 start-page: 1345 year: 2010 end-page: 1359 ident: b135 article-title: A survey on transfer learning publication-title: IEEE Transactions on Knowledge and Data Engineering – reference: Graves, A., Bellemare, M. G., Menick, J., Munos, R., & Kavukcuoglu, K. (2017). Automated curriculum learning for neural networks,. – volume: 3 start-page: 128 year: 1999 end-page: 135 ident: b47 article-title: CaTastrophic forgetting in connectionist networks publication-title: Trends in Cognitive Sciences – volume: 43 start-page: 166 year: 2017 end-page: 176 ident: b194 article-title: The temporal paradox of hebbian learning and homeostatic plasticity publication-title: Neurobiology – volume: 45 start-page: 599 year: 2005 end-page: 611 ident: b50 article-title: CaScade models of synaptically stored memories publication-title: Neuron – year: 1991 ident: b72 article-title: Introduction to the theory of neural computation – volume: 11 start-page: 265 year: 2007 end-page: 286 ident: b132 article-title: Intrinsic motivation systems for autonomous mental development publication-title: IEEE Transactions on Evolutionary Computation – volume: 3 year: 2016 ident: b189 article-title: A survey of transfer learning publication-title: Journal of Big Data – volume: 70 start-page: 687 year: 2011 end-page: 702 ident: b122 article-title: Adult neurogenesis in the mammalian brain: Significant answers and significant questions. publication-title: Neuron – volume: 33 start-page: 220 year: 2010 end-page: 229 ident: b128 article-title: Play it again: Reactivation of waking experience and memory publication-title: Trends in Neuroscience – year: 2016 ident: b187 article-title: Matching networks for one shot learning publication-title: NIPS’16 – year: 2012 ident: b21 article-title: Multisensory development – volume: 96 start-page: 137 year: 2017 end-page: 149 ident: b140 article-title: Lifelong learning of humans actions with deep neural network self-organization publication-title: Neural Networks – volume: 52 start-page: 35 year: 1997 end-page: 44 ident: b76 article-title: The analogical mind publication-title: American Psychologist – reference: Fernando, C., Banarse, D., Blundell, C., Zwols, Y., Ha, D., & Rusu, A. A., et al. (2017). Pathnet: Evolution channels gradient descent in super neural networks,. – year: 2018 ident: b81 article-title: Less-forgetting learning in deep neural networks – volume: 17 start-page: 1345 year: 2004 end-page: 1362 ident: b104 article-title: Early lexical development in a self-organising neural network publication-title: Neural Networks – year: 2015 ident: b123 article-title: Multimodal transfer deep learning with applications in audio-visual recognition publication-title: NIPS’15 – volume: 400 start-page: 671 year: 1999 end-page: 675 ident: b19 article-title: Time-dependent reorganization of brain circuitry underlying long-term memory storage publication-title: Nature – volume: 5 start-page: 215 year: 1993 end-page: 234 ident: b110 article-title: Constraints on plasticity in a connectionist model of english past tense publication-title: Journal of Cognitive Neuroscience – year: 2016 ident: b108 article-title: Continual learning through evolvable neural turing machines publication-title: NIPS’16, workshop on continual learning and deep networks – year: 2014 ident: b74 article-title: Distilling the knowledge in a neural network publication-title: NIPS’14, workshop on deep learning and representation – volume: 97 start-page: 285 year: 1990 end-page: 308 ident: b149 article-title: Connectionist models of recognition memory: Constraints imposed by learning and forgetting functions publication-title: Psychological Review – volume: 119 start-page: 573 year: 2012 end-page: 616 ident: b96 article-title: Generalization through the recurrent interaction of episodic memories: a model of the hippocampal system publication-title: Psychological Review – volume: 31 start-page: 497 year: 2001 end-page: 508 ident: b145 article-title: Learn++: An incremental learning algorithm for supervised neural networks publication-title: IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications & Reviews) – volume: 10 year: 1994 ident: b160 article-title: Neural network learning control of robot manipulators using gradually increasing task difficulty publication-title: IEEE Transactions on Robotics and Automation – reference: Goodfellow, I. J., Mirza, M., Xiao, D., Courville, A., & Bengio, Y. (2013). An empirical investigation of catastrophic forgetting in gradient-based neural networks,. – volume: 17 start-page: 585 year: 2013 end-page: 596 ident: b59 article-title: Information seeking, curiosity and attention: Computational and neural mechanisms publication-title: Trends in Cognitive Science – volume: 114 start-page: 1773 year: 2017 end-page: 1782 ident: b69 article-title: Theory of cortical function publication-title: Proceedings of the National Academy of Sciences of the United States of America – volume: 109 start-page: 75 year: 2015 end-page: 94 ident: b168 article-title: Short-term plasticity as cause-effect hypothesis testing is distal reward learning publication-title: Biological Cybernetics – volume: 9:e96485 year: 2014 ident: b89 article-title: Structural plasticity has high memory capacity and can explain graded amnesia, catastrophic forgetting, and the spacing effect publication-title: PLoS ONE – volume: 39 start-page: 567 year: 2016 end-page: 579 ident: b124 article-title: Multisensory processes: A balancing act across the lifespan publication-title: Trends in Neurosciences – start-page: 143 year: 2017 end-page: 149 ident: b38 article-title: Emotion recognition from body expressions with a neural network architecture publication-title: Proceedings of the international conference on human agent interaction (HAI’17) – start-page: 806 year: 2014 end-page: 813 ident: b150 article-title: CNN features off-the-shelf: An astounding baseline for recognition – volume: 3 start-page: 1178 year: 2000 end-page: 1183 ident: b1 article-title: Synaptic plasticity: taming the beast publication-title: Nature Neuroscience – volume: 160 start-page: 106 year: 1962 end-page: 154 ident: b77 article-title: Receptive fields, binocular and functional architecture in the cats visual cortex publication-title: Journal Physiology – reference: Achille, A., Rovere, M., & Soatto, S. (2017). Critical Learning Periods in Deep Neural Networks,. – start-page: 177 year: 1987 end-page: 186 ident: b73 article-title: Using fast weights to deblur old memories publication-title: Proceedings of the annual conference of the cognitive science society – volume: 6 year: 2016 ident: b146 article-title: Neural plasticity across the lifespan publication-title: Wiley Interdisciplinary Reviews: Developmental Biology – reference: Schmidhuber, J. (1991). Curious model-building control systems. – volume: 4 start-page: 558 year: 1993 end-page: 569 ident: b113 article-title: Neural-gas network for vector quantization and its application to time-series prediction publication-title: IEEE Transactions on Neural Networks – year: 2016 ident: b45 article-title: Curiosity-driven development of tool use precursors: a computational model publication-title: Proceedings of the annual conference of the cognitive science society – year: 2007 ident: b111 article-title: Neuroconstructivism: How the brain constructs cognition – year: 2017 ident: b178 article-title: Online learning with stochastic recurrent neural networks using intrinsic motivation signals publication-title: CoRL’17 – year: 2018 ident: b138 article-title: On the role of neurogenesis in overcoming catastrophic forgetting. publication-title: NIPS’18, workshop on continual learning – volume: 1 start-page: 535 year: 1986 end-page: 543 ident: b125 article-title: Networks of formal neurons and memory palimpsets publication-title: Europhysics Letters – volume: 269 start-page: 981 year: 1995 end-page: 985 ident: b35 article-title: Recurrent excitation in neocortical circuits publication-title: Science – volume: 56 start-page: 337 year: 1993 end-page: 344 ident: b24 article-title: Differentiation of newly born neurons and glia in the dentate gyrus of the adult rat publication-title: Neuroscience – volume: 287 start-page: 1433 year: 2000 end-page: 1438 ident: b51 article-title: Mammalian neural stem cells publication-title: Science – year: 2010 ident: b8 article-title: Feedback systems: An introduction for scientists and engineers – year: 2017 ident: b144 article-title: Curiosity-driven exploration by self-supervised prediction publication-title: ICML’17 – volume: 2 start-page: 399 year: 1991 end-page: 422 ident: b22 article-title: Neural network models of list learning publication-title: Networks – year: 2004 ident: b23 article-title: The handbook of multisensory processes – year: 1949 ident: b68 article-title: The organization of behavior – volume: 56 start-page: 292 year: 2014 end-page: 315 ident: b103 article-title: Early experience & multisensory perceptual narrowing publication-title: Developmental Psychobiology – volume: 9 start-page: 723 year: 2006 end-page: 727 ident: b5 article-title: Potential role for adult neurogenesis in the encoding of time in new memories. publication-title: Nature Neuroscience – year: 2011 ident: b127 article-title: Reading digits in natural images with unsupervised feature learning publication-title: NIPS’11, Workshop on deep learning and unsupervised feature learning – volume: 61 start-page: 49 year: 2013 end-page: 73 ident: b10 article-title: Active learning of inverse models with intrinsically motivated goal exploration in robots publication-title: Robotics and Autonomous Systems – year: 2017 ident: b181 article-title: A deep hierarchical approach to lifelong learning in minecraft publication-title: AAAI’17 – volume: 104 start-page: 18778 year: 2007 end-page: 18783 ident: b52 article-title: Sleep transforms the cerebral trace of declarative memories publication-title: Proceedings of the National Academy of Sciences – reference: Reed, S., & de Freitas, N. (2015). Neural programmer interpreters,. – volume: 15 start-page: 25 year: 1995 end-page: 46 ident: b183 article-title: Lifelong robot learning publication-title: Robotics and Autonomous Systems – year: 2015 ident: b4 article-title: Active inference, predictive coding and cortical architecture publication-title: Recent advances on the modular organization of the cortex – volume: 124 start-page: 2259 year: 2001 end-page: 2267 ident: b20 article-title: Dynamic organization of the somato-sensory cortex induced by motor activity publication-title: Brain – start-page: 575 year: 2017 end-page: 597 ident: b87 article-title: Neurogenesis and brain repair – volume: 3 start-page: 115 year: 2000 end-page: 136 ident: b126 article-title: Neural plasticity and human development: The role of early experience in sculpting memory systems publication-title: Developmental Science – volume: 28 start-page: 77 year: 1997 end-page: 104 ident: b155 article-title: Child: A first step towards continual learning publication-title: Machine Learning – volume: 9 start-page: 353 year: 1997 end-page: 380 ident: b46 article-title: Pseudo-recurrent connectionist networks: An approach to the sensitivity-stability dilemma publication-title: Connection Science – volume: 13 start-page: 155 year: 2003 end-page: 161 ident: b134 article-title: Brain imaging of language plasticity in adopted adults: can a second language replace a first? publication-title: Cerebral Cortex – volume: 2 start-page: 251 year: 2001 end-page: 262 ident: b176 article-title: Development and plasticity of cortical areas and networks publication-title: Nature Reviews Neuroscience – reference: Rusu, A. A., Rabinowitz, N. C., Desjardins, G., Soyer, H., Kirkpatrick, J., & Kavukcuoglu, K., et al. (2016). Progressive Neural Networks,. – year: 1993 ident: b174 article-title: The merging of the senses – volume: 11 start-page: 371 year: 2008 end-page: 389 ident: b154 article-title: Critical periods and catastrophic interference effects in the development of self-organising feature maps publication-title: Developmental Science – volume: 187 start-page: 27 year: 2016 end-page: 48 ident: b65 article-title: Deep learning for visual understanding: A review publication-title: Neurocomputing – year: 1999 ident: b57 article-title: The scientist in the crib: Minds, brains, and how children learn – year: 2004 ident: b129 article-title: The division of labor between the neocortex and hippocampus. connectionist modeling in cognitive (neuro-)science – volume: 520 start-page: 180 year: 2015 end-page: 185 ident: b27 article-title: Branch-specific dendritic Ca(2+) spikes cause persistent synaptic plasticity publication-title: Nature – volume: 69 start-page: 745 year: 2002 end-page: 749 ident: b179 article-title: Adult neurogenesis and neural stem cells of the central nervous system in mammals publication-title: Journal of Neuroscience Research – volume: 15 start-page: 1041 year: 2002 end-page: 1058 ident: b112 article-title: A self-organising network that grows when required publication-title: Neural Networks – volume: 59 start-page: 334 year: 1997 end-page: 366 ident: b119 article-title: Dyslexic and category-specific aphasic impairments in a self-organizing feature map model of the lexicon publication-title: Brain & Language – year: 2017 ident: b12 article-title: Expectation learning for adaptive crossmodal stimuli association publication-title: EUCog Meeting Proceedings – start-page: 1395 year: 2005 end-page: 1402 ident: b58 article-title: Actions as space-time shapes publication-title: ICCV’05 – volume: 4 start-page: 1313 year: 1998 end-page: 1317 ident: b40 article-title: Neurogenesis in the adult human hippocampus publication-title: Nature medicine – volume: 278 start-page: 377 year: 1977 end-page: 409 ident: b80 article-title: Plasticity of ocular dominance columns in monkey striate cortex publication-title: Philosophical Transactions of the Royal Society of London, Series B: Biological Sciences – reference: Forestier, S., Mollard, Y., & Oudeyer, P. Y. (2017). Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning,. – year: 2015 ident: b25 article-title: Developmental robotics: From babies to robots – year: 1993 ident: b156 article-title: CaTastrophic forgetting in neural networks: The role of rehearsal mechanisms publication-title: Proceedings of the first new zealand international two-stream conference on artificial neural networks and expert systems – volume: 13 start-page: 94 year: 1958 end-page: 99 ident: b167 article-title: Reinforcement today publication-title: American Psychologist – volume: 19 start-page: 1697 year: 2016 end-page: 1708 ident: b16 article-title: Computational principles of synaptic memory consolidation publication-title: Nature Neuroscience – volume: 6 start-page: 187 year: 2015 end-page: 214 ident: b48 article-title: Active inference and epistemic value publication-title: Cognitive neuroscience – volume: 245 start-page: 605 year: 1989 end-page: 615 ident: b120 article-title: Occular dominance column development: Analysis and simulation publication-title: Science – start-page: 614 year: 2016 end-page: 629 ident: b105 article-title: Learning without forgetting – start-page: 71 year: 2016 end-page: 79 ident: b139 article-title: Human motion assessment in real time using recurrent self-organization publication-title: Proceedings of the IEEE international symposium on robot and human interactive communication – reference: Mici, L., Parisi, G. I., & Wermter, S. (2017). An Incremental Self-Organizing Architecture for Sensorimotor Learning and Prediction,. – year: 2018 ident: b83 article-title: Fearnet: Brain-inspired model for incremental learning publication-title: ICLR’18 – reference: Parisi, G., Barros, P., Fu, D., Magg, S., Wu, H., & Liu, X., et al. (2018). A Neurorobotic Experiment for Crossmodal Conflict Resolution in Complex Environments,. – reference: Soltoggio, A., Stanley, K. O., & Risi, S. (2017). Born to learn: the inspiration, progress, and future of evolved plastic artificial neural networks,. – volume: 110 start-page: 380 year: 2009 end-page: 394 ident: b93 article-title: Flexible shaping: how learning in small steps helps publication-title: Cognition – ident: 10.1016/j.neunet.2019.01.012_b117 doi: 10.1109/TCDS.2018.2832844 – volume: 3 start-page: 128 issue: 4 year: 1999 ident: 10.1016/j.neunet.2019.01.012_b47 article-title: CaTastrophic forgetting in connectionist networks publication-title: Trends in Cognitive Sciences doi: 10.1016/S1364-6613(99)01294-2 – year: 1998 ident: 10.1016/j.neunet.2019.01.012_b100 article-title: Gradient-based learning applied to document recognition – ident: 10.1016/j.neunet.2019.01.012_b141 doi: 10.3389/fnbot.2018.00078 – year: 2014 ident: 10.1016/j.neunet.2019.01.012_b34 article-title: Decaf: A deep convolutional activation feature for generic visual recognition – volume: 70 start-page: 687 year: 2011 ident: 10.1016/j.neunet.2019.01.012_b122 article-title: Adult neurogenesis in the mammalian brain: Significant answers and significant questions. publication-title: Neuron doi: 10.1016/j.neuron.2011.05.001 – volume: 37 start-page: 1 year: 2012 ident: 10.1016/j.neunet.2019.01.012_b64 article-title: Adaptive resonance theory: how a brain learns to consciously attend, learn, and recognize a changing world. publication-title: Neural Networks doi: 10.1016/j.neunet.2012.09.017 – year: 2016 ident: 10.1016/j.neunet.2019.01.012_b187 article-title: Matching networks for one shot learning – year: 1995 ident: 10.1016/j.neunet.2019.01.012_b91 – volume: 3 start-page: 1178 year: 2000 ident: 10.1016/j.neunet.2019.01.012_b1 article-title: Synaptic plasticity: taming the beast publication-title: Nature Neuroscience doi: 10.1038/81453 – ident: 10.1016/j.neunet.2019.01.012_b61 – year: 1993 ident: 10.1016/j.neunet.2019.01.012_b156 article-title: CaTastrophic forgetting in neural networks: The role of rehearsal mechanisms – volume: 3 start-page: 115 issue: 2 year: 2000 ident: 10.1016/j.neunet.2019.01.012_b126 article-title: Neural plasticity and human development: The role of early experience in sculpting memory systems publication-title: Developmental Science doi: 10.1111/1467-7687.00104 – year: 2009 ident: 10.1016/j.neunet.2019.01.012_b133 article-title: Zero-shot learning with semantic output codes – volume: 96 start-page: 137 year: 2017 ident: 10.1016/j.neunet.2019.01.012_b140 article-title: Lifelong learning of humans actions with deep neural network self-organization publication-title: Neural Networks doi: 10.1016/j.neunet.2017.09.001 – volume: 19 start-page: 1697 issue: 12 year: 2016 ident: 10.1016/j.neunet.2019.01.012_b16 article-title: Computational principles of synaptic memory consolidation publication-title: Nature Neuroscience doi: 10.1038/nn.4401 – volume: 56 start-page: 398 year: 2017 ident: 10.1016/j.neunet.2019.01.012_b153 article-title: Life-long learning based on dynamic combination model publication-title: Applied Soft Computing doi: 10.1016/j.asoc.2017.03.005 – year: 2017 ident: 10.1016/j.neunet.2019.01.012_b178 article-title: Online learning with stochastic recurrent neural networks using intrinsic motivation signals – volume: 3 issue: 9 year: 2016 ident: 10.1016/j.neunet.2019.01.012_b189 article-title: A survey of transfer learning publication-title: Journal of Big Data – year: 2009 ident: 10.1016/j.neunet.2019.01.012_b98 article-title: Learning to detect unseen object classes by between-class attribute transfer – volume: 5 issue: 18112 year: 2015 ident: 10.1016/j.neunet.2019.01.012_b180 article-title: The global landscape of cognition: hierarchical aggregation as an organizational principle of human cortical networks and functions publication-title: Scientific Reports – ident: 10.1016/j.neunet.2019.01.012_b43 – volume: 9 start-page: 353 issue: 4 year: 1997 ident: 10.1016/j.neunet.2019.01.012_b46 article-title: Pseudo-recurrent connectionist networks: An approach to the sensitivity-stability dilemma publication-title: Connection Science doi: 10.1080/095400997116595 – year: 2016 ident: 10.1016/j.neunet.2019.01.012_b45 article-title: Curiosity-driven development of tool use precursors: a computational model – volume: 4 start-page: 558 issue: 4 year: 1993 ident: 10.1016/j.neunet.2019.01.012_b113 article-title: Neural-gas network for vector quantization and its application to time-series prediction publication-title: IEEE Transactions on Neural Networks doi: 10.1109/72.238311 – volume: 8 issue: 445 year: 2017 ident: 10.1016/j.neunet.2019.01.012_b26 article-title: Assessing the role of the unity assumption on multisensory integration: a review publication-title: Frontiers in Psychology – volume: 282 start-page: 1504 year: 1998 ident: 10.1016/j.neunet.2019.01.012_b71 article-title: Local gaba circuit control of experience-dependent plasticity in developing visual cortex publication-title: Science doi: 10.1126/science.282.5393.1504 – year: 2013 ident: 10.1016/j.neunet.2019.01.012_b9 – start-page: 625 year: 1992 ident: 10.1016/j.neunet.2019.01.012_b49 article-title: A growing neural gas network learns topologies – volume: 4 start-page: 1313 issue: 11 year: 1998 ident: 10.1016/j.neunet.2019.01.012_b40 article-title: Neurogenesis in the adult human hippocampus publication-title: Nature medicine doi: 10.1038/3305 – volume: 6 start-page: 505 issue: 12 year: 2002 ident: 10.1016/j.neunet.2019.01.012_b130 article-title: Hippocampal and neocortical contributions to memory: Advances in the complementary learning systems framework publication-title: Trends in Cognitive Sciences doi: 10.1016/S1364-6613(02)02005-3 – volume: 160 start-page: 106 year: 1962 ident: 10.1016/j.neunet.2019.01.012_b77 article-title: Receptive fields, binocular and functional architecture in the cats visual cortex publication-title: Journal Physiology doi: 10.1113/jphysiol.1962.sp006837 – volume: 56 start-page: 292 issue: 2 year: 2014 ident: 10.1016/j.neunet.2019.01.012_b103 article-title: Early experience & multisensory perceptual narrowing publication-title: Developmental Psychobiology doi: 10.1002/dev.21197 – volume: 187 start-page: 27 issue: 8 year: 2016 ident: 10.1016/j.neunet.2019.01.012_b65 article-title: Deep learning for visual understanding: A review publication-title: Neurocomputing doi: 10.1016/j.neucom.2015.09.116 – volume: 206 start-page: 419 year: 1970 ident: 10.1016/j.neunet.2019.01.012_b79 article-title: The period of susceptibility to the psychological effects of unilateral eye closure in kittens publication-title: Journal Physiology doi: 10.1113/jphysiol.1970.sp009022 – volume: 15 start-page: 520 issue: 8 year: 2014 ident: 10.1016/j.neunet.2019.01.012_b175 article-title: Development of multisensory integration from the perspective of the individual neuron publication-title: Nature Reviews Neuroscience doi: 10.1038/nrn3742 – volume: 1 start-page: 535 year: 1986 ident: 10.1016/j.neunet.2019.01.012_b125 article-title: Networks of formal neurons and memory palimpsets publication-title: Europhysics Letters doi: 10.1209/0295-5075/1/10/008 – year: 2016 ident: 10.1016/j.neunet.2019.01.012_b108 article-title: Continual learning through evolvable neural turing machines – volume: 43 start-page: 166 year: 2017 ident: 10.1016/j.neunet.2019.01.012_b194 article-title: The temporal paradox of hebbian learning and homeostatic plasticity publication-title: Neurobiology – start-page: 1395 year: 2005 ident: 10.1016/j.neunet.2019.01.012_b58 article-title: Actions as space-time shapes – ident: 10.1016/j.neunet.2019.01.012_b109 – volume: 1191 start-page: 182 year: 2010 ident: 10.1016/j.neunet.2019.01.012_b172 article-title: Crossmodal spatial attention publication-title: Annals of the New York Academy of Sciences doi: 10.1111/j.1749-6632.2010.05440.x – volume: 8 start-page: 924 issue: 5 year: 2015 ident: 10.1016/j.neunet.2019.01.012_b55 article-title: A bio-inspired incremental learning architecture for applied perceptual problems publication-title: Cognitive Computation doi: 10.1007/s12559-016-9389-5 – volume: 520 start-page: 180 year: 2015 ident: 10.1016/j.neunet.2019.01.012_b27 article-title: Branch-specific dendritic Ca(2+) spikes cause persistent synaptic plasticity publication-title: Nature doi: 10.1038/nature14251 – year: 2016 ident: 10.1016/j.neunet.2019.01.012_b177 – volume: 24 start-page: 1623 issue: 10 year: 2013 ident: 10.1016/j.neunet.2019.01.012_b28 article-title: Ensemble learning in fixed expansion layer networks for mitigating catastrophic forgetting publication-title: IEEE Transactions on Neural Networks & Learning Systems doi: 10.1109/TNNLS.2013.2264952 – volume: 102 start-page: 419 year: 1995 ident: 10.1016/j.neunet.2019.01.012_b114 article-title: Why there are complementary learning systems in the hippocampus and neocortex: Insights from the successes and failures of connectionist models of learning and memory publication-title: Psychological Review doi: 10.1037/0033-295X.102.3.419 – volume: 119 start-page: 573 year: 2012 ident: 10.1016/j.neunet.2019.01.012_b96 article-title: Generalization through the recurrent interaction of episodic memories: a model of the hippocampal system publication-title: Psychological Review doi: 10.1037/a0028681 – volume: 2 start-page: 399 year: 1991 ident: 10.1016/j.neunet.2019.01.012_b22 article-title: Neural network models of list learning publication-title: Networks doi: 10.1088/0954-898X_2_4_005 – volume: 287 start-page: 1433 year: 2000 ident: 10.1016/j.neunet.2019.01.012_b51 article-title: Mammalian neural stem cells publication-title: Science doi: 10.1126/science.287.5457.1433 – volume: 22 start-page: 589 issue: 4 year: 2018 ident: 10.1016/j.neunet.2019.01.012_b18 article-title: Human hippocampal neurogenesis persists throughout aging publication-title: Cell Stem Cell doi: 10.1016/j.stem.2018.03.015 – start-page: 177 year: 1987 ident: 10.1016/j.neunet.2019.01.012_b73 article-title: Using fast weights to deblur old memories – year: 1993 ident: 10.1016/j.neunet.2019.01.012_b174 – volume: 6 start-page: 187 year: 2015 ident: 10.1016/j.neunet.2019.01.012_b48 article-title: Active inference and epistemic value publication-title: Cognitive neuroscience doi: 10.1080/17588928.2015.1020053 – volume: 145 start-page: 573 issue: 4 year: 1963 ident: 10.1016/j.neunet.2019.01.012_b7 article-title: Autoradiographic investigation of cell proliferation in the brains of rats and cats publication-title: The Anatomical Record doi: 10.1002/ar.1091450409 – start-page: 446 year: 2014 ident: 10.1016/j.neunet.2019.01.012_b173 article-title: Orienting attention: A crossmodal perspective – volume: 305 start-page: 1779 year: 2004 ident: 10.1016/j.neunet.2019.01.012_b164 article-title: Children creating core properties of language: Evidence from an emerging sign language in nicaragua publication-title: Science doi: 10.1126/science.1100199 – year: 2017 ident: 10.1016/j.neunet.2019.01.012_b166 article-title: Continual learning with deep generative replay – start-page: 17 year: 2013 ident: 10.1016/j.neunet.2019.01.012_b13 article-title: Intrinsic motivation and reinforcement learning – volume: 322 start-page: 96 year: 2008 ident: 10.1016/j.neunet.2019.01.012_b53 article-title: Internally generated reactivation of single neurons in human hippocampus during free recall publication-title: Science doi: 10.1126/science.1164685 – start-page: 614 year: 2016 ident: 10.1016/j.neunet.2019.01.012_b105 – ident: 10.1016/j.neunet.2019.01.012_b56 – ident: 10.1016/j.neunet.2019.01.012_b94 – ident: 10.1016/j.neunet.2019.01.012_b3 – volume: 13 start-page: 928 issue: 7–8 year: 2006 ident: 10.1016/j.neunet.2019.01.012_b97 article-title: Age of acquisition effects depend on the mapping between representations and the frequency of occurrence: empirical and computational evidence publication-title: Visual Cognition doi: 10.1080/13506280544000110 – volume: 17 start-page: 585 issue: 11 year: 2013 ident: 10.1016/j.neunet.2019.01.012_b59 article-title: Information seeking, curiosity and attention: Computational and neural mechanisms publication-title: Trends in Cognitive Science doi: 10.1016/j.tics.2013.09.001 – year: 2015 ident: 10.1016/j.neunet.2019.01.012_b4 article-title: Active inference, predictive coding and cortical architecture – start-page: 806 year: 2014 ident: 10.1016/j.neunet.2019.01.012_b150 – year: 2004 ident: 10.1016/j.neunet.2019.01.012_b129 – year: 1991 ident: 10.1016/j.neunet.2019.01.012_b72 – start-page: 33 year: 2017 ident: 10.1016/j.neunet.2019.01.012_b137 article-title: A computational model of crossmodal processing for conflict resolution – volume: 28 start-page: 2539 issue: 10 year: 2008 ident: 10.1016/j.neunet.2019.01.012_b67 article-title: A hierarchy of temporal receptive windows in human cortex publication-title: The Journal of Neuroscience doi: 10.1523/JNEUROSCI.5487-07.2008 – ident: 10.1016/j.neunet.2019.01.012_b161 doi: 10.1109/IJCNN.1991.170605 – volume: 33 start-page: 220 year: 2010 ident: 10.1016/j.neunet.2019.01.012_b128 article-title: Play it again: Reactivation of waking experience and memory publication-title: Trends in Neuroscience doi: 10.1016/j.tins.2010.01.006 – volume: 48 start-page: 337 issue: 4 year: 2006 ident: 10.1016/j.neunet.2019.01.012_b182 article-title: The computational modelling of sensitive periods publication-title: Developmental Psychobiology doi: 10.1002/dev.20134 – ident: 10.1016/j.neunet.2019.01.012_b44 – year: 2018 ident: 10.1016/j.neunet.2019.01.012_b138 article-title: On the role of neurogenesis in overcoming catastrophic forgetting. – volume: 87 start-page: 1 year: 1980 ident: 10.1016/j.neunet.2019.01.012_b63 article-title: How does a brain build a cognitive code? publication-title: Psychology Review doi: 10.1037/0033-295X.87.1.1 – volume: 61 start-page: 187 year: 2009 ident: 10.1016/j.neunet.2019.01.012_b6 article-title: Computational influence of adult neurogenesis on memory encoding. publication-title: Neuron doi: 10.1016/j.neuron.2008.11.026 – year: 2016 ident: 10.1016/j.neunet.2019.01.012_b14 article-title: Unifying count-based exploration and intrinsic motivation – volume: 2 start-page: 251 year: 2001 ident: 10.1016/j.neunet.2019.01.012_b176 article-title: Development and plasticity of cortical areas and networks publication-title: Nature Reviews Neuroscience doi: 10.1038/35067562 – volume: 43 start-page: 59 year: 1982 ident: 10.1016/j.neunet.2019.01.012_b90 article-title: Self-organized formation of topologically correct feature maps publication-title: Biological Cybernetics doi: 10.1007/BF00337288 – year: 2017 ident: 10.1016/j.neunet.2019.01.012_b107 article-title: Gradient episodic memory for continual learning – volume: 104 start-page: 18778 issue: 47 year: 2007 ident: 10.1016/j.neunet.2019.01.012_b52 article-title: Sleep transforms the cerebral trace of declarative memories publication-title: Proceedings of the National Academy of Sciences doi: 10.1073/pnas.0705454104 – volume: 114 start-page: 1773 issue: 8 year: 2017 ident: 10.1016/j.neunet.2019.01.012_b69 article-title: Theory of cortical function publication-title: Proceedings of the National Academy of Sciences of the United States of America doi: 10.1073/pnas.1619788114 – year: 2017 ident: 10.1016/j.neunet.2019.01.012_b54 article-title: Audio set: An ontology and human-labeled dataset for audio events – volume: 15 start-page: 1041 issue: 8–9 year: 2002 ident: 10.1016/j.neunet.2019.01.012_b112 article-title: A self-organising network that grows when required publication-title: Neural Networks doi: 10.1016/S0893-6080(02)00078-3 – volume: 27 start-page: 549 year: 2004 ident: 10.1016/j.neunet.2019.01.012_b70 article-title: Critical period regulation publication-title: Annual Review of Neuroscience doi: 10.1146/annurev.neuro.27.070203.144327 – volume: 4 issue: 504 year: 2013 ident: 10.1016/j.neunet.2019.01.012_b116 article-title: The stability-plasticity dilemma: Investigating the continuum from Catastrophic forgetting to age-limited learning effects publication-title: Frontiers in Psychology – year: 2011 ident: 10.1016/j.neunet.2019.01.012_b127 article-title: Reading digits in natural images with unsupervised feature learning – volume: 400 start-page: 671 year: 1999 ident: 10.1016/j.neunet.2019.01.012_b19 article-title: Time-dependent reorganization of brain circuitry underlying long-term memory storage publication-title: Nature doi: 10.1038/23270 – start-page: 575 year: 2017 ident: 10.1016/j.neunet.2019.01.012_b87 – year: 2010 ident: 10.1016/j.neunet.2019.01.012_b8 – year: 2017 ident: 10.1016/j.neunet.2019.01.012_b143 article-title: Incremental online learning of objects for robots operating in real environments – year: 2011 ident: 10.1016/j.neunet.2019.01.012_b188 article-title: CaLtech-UCSD birds-200-2011 dataset – start-page: 177 year: 2014 ident: 10.1016/j.neunet.2019.01.012_b192 article-title: Error-driven incremental learning in deep convolutional neural network for large-scale image classification – volume: 9:e96485 year: 2014 ident: 10.1016/j.neunet.2019.01.012_b89 article-title: Structural plasticity has high memory capacity and can explain graded amnesia, catastrophic forgetting, and the spacing effect publication-title: PLoS ONE – start-page: 32 year: 2004 ident: 10.1016/j.neunet.2019.01.012_b162 article-title: Recognizing human actions: A local SVM approach – volume: 555 start-page: 377 year: 2018 ident: 10.1016/j.neunet.2019.01.012_b171 article-title: Human hippocampal neurogenesis drops sharply in children to undetectable levels in adults publication-title: Nature doi: 10.1038/nature25975 – volume: 34 start-page: 89 year: 2011 ident: 10.1016/j.neunet.2019.01.012_b185 article-title: Too many cooks? Intrinsic and synaptic homeostatic mechanisms in cortical circuit refinement publication-title: Annual Review of Neuroscience doi: 10.1146/annurev-neuro-060909-153238 – ident: 10.1016/j.neunet.2019.01.012_b169 doi: 10.1016/j.neunet.2018.07.013 – year: 2017 ident: 10.1016/j.neunet.2019.01.012_b144 article-title: Curiosity-driven exploration by self-supervised prediction – volume: 8 issue: 17 year: 2014 ident: 10.1016/j.neunet.2019.01.012_b147 article-title: Adult neurogenesis in brain repair: Cellular plasticity vs. cellular replacement publication-title: Frontiers in Neuroscience – volume: 2 start-page: 79 issue: 1 year: 1999 ident: 10.1016/j.neunet.2019.01.012_b148 article-title: Predictive coding in the visual cortex: A functional interpretation of some extra-classical receptive-field effects publication-title: Nature Neuroscience doi: 10.1038/4580 – volume: 2 start-page: 32 year: 1982 ident: 10.1016/j.neunet.2019.01.012_b17 article-title: Theory for the development of neuron selectivity: orientation specificity and binocular interaction in visual cortex publication-title: The Journal of Neuroscience doi: 10.1523/JNEUROSCI.02-01-00032.1982 – volume: 28 start-page: 77 year: 1997 ident: 10.1016/j.neunet.2019.01.012_b155 article-title: Child: A first step towards continual learning publication-title: Machine Learning doi: 10.1023/A:1007331723572 – volume: 8 start-page: 162 issue: 4 year: 2004 ident: 10.1016/j.neunet.2019.01.012_b41 article-title: Merging the senses into a robust percept publication-title: Trends in Cognitive Sciences doi: 10.1016/j.tics.2004.02.002 – volume: 114 start-page: 3521 issue: 13 year: 2017 ident: 10.1016/j.neunet.2019.01.012_b85 article-title: Overcoming catastrophic forgetting in neural networks publication-title: Proceedings of the National Academy of Sciences doi: 10.1073/pnas.1611835114 – year: 2003 ident: 10.1016/j.neunet.2019.01.012_b42 article-title: A Bayesian approach to unsupervised one-shot learning of object categories – volume: 29 start-page: 307 year: 2006 ident: 10.1016/j.neunet.2019.01.012_b31 article-title: Homeostatic control of neural activity: from phenomenology to molecular design publication-title: Annual Review of Neuroscience doi: 10.1146/annurev.neuro.28.061604.135751 – volume: 28 start-page: 73 issue: 2 year: 2005 ident: 10.1016/j.neunet.2019.01.012_b2 article-title: Memory retention and weight plasticity in ANN simulations publication-title: Trends in Neurosciences doi: 10.1016/j.tins.2004.12.003 – year: 2017 ident: 10.1016/j.neunet.2019.01.012_b181 article-title: A deep hierarchical approach to lifelong learning in minecraft – volume: 194 start-page: 431 issue: 1117 year: 1976 ident: 10.1016/j.neunet.2019.01.012_b191 article-title: How patterned neural connections can be set up by self-organization publication-title: Proceedings of the Royal Society of London B: Biological Sciences doi: 10.1098/rspb.1976.0087 – volume: 56 start-page: 59 year: 2006 ident: 10.1016/j.neunet.2019.01.012_b186 article-title: Development of the human cortex and the concept of critical or sensitive periods publication-title: Language Learning doi: 10.1111/j.1467-9922.2006.00355.x – volume: 61 start-page: 49 issue: 1 year: 2013 ident: 10.1016/j.neunet.2019.01.012_b10 article-title: Active learning of inverse models with intrinsically motivated goal exploration in robots publication-title: Robotics and Autonomous Systems doi: 10.1016/j.robot.2012.05.008 – year: 2015 ident: 10.1016/j.neunet.2019.01.012_b25 – volume: 13 start-page: 94 year: 1958 ident: 10.1016/j.neunet.2019.01.012_b167 article-title: Reinforcement today publication-title: American Psychologist doi: 10.1037/h0049039 – volume: 115 start-page: 1 year: 2008 ident: 10.1016/j.neunet.2019.01.012_b36 article-title: A theory of the discovery and predication of relational concepts publication-title: Psychological Review doi: 10.1037/0033-295X.115.1.1 – ident: 10.1016/j.neunet.2019.01.012_b136 doi: 10.1109/IROS.2018.8594036 – year: 2004 ident: 10.1016/j.neunet.2019.01.012_b23 – start-page: 71 year: 2016 ident: 10.1016/j.neunet.2019.01.012_b139 article-title: Human motion assessment in real time using recurrent self-organization – year: 2016 ident: 10.1016/j.neunet.2019.01.012_b142 article-title: Incremental on-line learning of object classes using a combination of self-organizing incremental neural networks and deep convolutional neural networks – volume: 245 start-page: 605 year: 1989 ident: 10.1016/j.neunet.2019.01.012_b120 article-title: Occular dominance column development: Analysis and simulation publication-title: Science doi: 10.1126/science.2762813 – year: 2017 ident: 10.1016/j.neunet.2019.01.012_b106 article-title: Core50: A new dataset and benchmark for continuous object recognition – volume: 20 start-page: 512 issue: 7 year: 2016 ident: 10.1016/j.neunet.2019.01.012_b95 article-title: What learning systems do intelligent agents need? Complementary learning systems theory updated publication-title: Trends in Cognitive Sciences doi: 10.1016/j.tics.2016.05.004 – volume: 3 start-page: 919 year: 2000 ident: 10.1016/j.neunet.2019.01.012_b170 article-title: Competitive hebbian learning through spike-timing-dependent synaptic plasticity publication-title: Nature Neuroscience doi: 10.1038/78829 – volume: 52 start-page: 35 year: 1997 ident: 10.1016/j.neunet.2019.01.012_b76 article-title: The analogical mind publication-title: American Psychologist doi: 10.1037/0003-066X.52.1.35 – year: 1994 ident: 10.1016/j.neunet.2019.01.012_b102 article-title: CaTastrophic interference in neural networks: Causes, solutions, and data – start-page: 1453 year: 2012 ident: 10.1016/j.neunet.2019.01.012_b196 article-title: Online incremental feature learning with denoising autoencoders – start-page: 526 year: 2017 ident: 10.1016/j.neunet.2019.01.012_b37 article-title: Neurogenesis deep learning – year: 1967 ident: 10.1016/j.neunet.2019.01.012_b101 – volume: 15 start-page: 25 year: 1995 ident: 10.1016/j.neunet.2019.01.012_b183 article-title: Lifelong robot learning publication-title: Robotics and Autonomous Systems doi: 10.1016/0921-8890(95)00004-Y – ident: 10.1016/j.neunet.2019.01.012_b82 – volume: 521 start-page: 436 year: 2015 ident: 10.1016/j.neunet.2019.01.012_b99 article-title: Deep learning publication-title: Nature doi: 10.1038/nature14539 – year: 2014 ident: 10.1016/j.neunet.2019.01.012_b74 article-title: Distilling the knowledge in a neural network – volume: 31 start-page: 497 issue: 4 year: 2001 ident: 10.1016/j.neunet.2019.01.012_b145 article-title: Learn++: An incremental learning algorithm for supervised neural networks publication-title: IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications & Reviews) doi: 10.1109/5326.983933 – year: 2018 ident: 10.1016/j.neunet.2019.01.012_b84 article-title: Measuring catastrophic forgetting in neural networks – volume: 124 start-page: 2259 year: 2001 ident: 10.1016/j.neunet.2019.01.012_b20 article-title: Dynamic organization of the somato-sensory cortex induced by motor activity publication-title: Brain doi: 10.1093/brain/124.11.2259 – start-page: 143 year: 2017 ident: 10.1016/j.neunet.2019.01.012_b38 article-title: Emotion recognition from body expressions with a neural network architecture – year: 2017 ident: 10.1016/j.neunet.2019.01.012_b195 – volume: 6 issue: 216 year: 2016 ident: 10.1016/j.neunet.2019.01.012_b146 article-title: Neural plasticity across the lifespan publication-title: Wiley Interdisciplinary Reviews: Developmental Biology – volume: 69 start-page: 745 issue: 6 year: 2002 ident: 10.1016/j.neunet.2019.01.012_b179 article-title: Adult neurogenesis and neural stem cells of the central nervous system in mammals publication-title: Journal of Neuroscience Research doi: 10.1002/jnr.10378 – volume: 168 start-page: 869 year: 1970 ident: 10.1016/j.neunet.2019.01.012_b75 article-title: Visual experience modifies distribution of horizontally and vertically oriented receptive fields in cats publication-title: Science doi: 10.1126/science.168.3933.869 – volume: 39 start-page: 567 year: 2016 ident: 10.1016/j.neunet.2019.01.012_b124 article-title: Multisensory processes: A balancing act across the lifespan publication-title: Trends in Neurosciences doi: 10.1016/j.tins.2016.05.003 – volume: 17 start-page: 1345 year: 2004 ident: 10.1016/j.neunet.2019.01.012_b104 article-title: Early lexical development in a self-organising neural network publication-title: Neural Networks doi: 10.1016/j.neunet.2004.07.004 – volume: 13 start-page: 155 year: 2003 ident: 10.1016/j.neunet.2019.01.012_b134 article-title: Brain imaging of language plasticity in adopted adults: can a second language replace a first? publication-title: Cerebral Cortex doi: 10.1093/cercor/13.2.155 – volume: 45 start-page: 599 issue: 4 year: 2005 ident: 10.1016/j.neunet.2019.01.012_b50 article-title: CaScade models of synaptically stored memories publication-title: Neuron doi: 10.1016/j.neuron.2005.02.001 – volume: 10 year: 1994 ident: 10.1016/j.neunet.2019.01.012_b160 article-title: Neural network learning control of robot manipulators using gradually increasing task difficulty publication-title: IEEE Transactions on Robotics and Automation doi: 10.1109/70.294207 – volume: 278 start-page: 377 year: 1977 ident: 10.1016/j.neunet.2019.01.012_b80 article-title: Plasticity of ocular dominance columns in monkey striate cortex publication-title: Philosophical Transactions of the Royal Society of London, Series B: Biological Sciences doi: 10.1098/rstb.1977.0050 – start-page: 315 year: 2006 ident: 10.1016/j.neunet.2019.01.012_b163 article-title: Connectionist models in developmental cognitive neuroscience: Critical periods and the paradox of success – volume: 11 start-page: 371 issue: 3 year: 2008 ident: 10.1016/j.neunet.2019.01.012_b154 article-title: Critical periods and catastrophic interference effects in the development of self-organising feature maps publication-title: Developmental Science doi: 10.1111/j.1467-7687.2008.00682.x – volume: 7 start-page: 123 issue: 2 year: 1995 ident: 10.1016/j.neunet.2019.01.012_b157 article-title: CaTastrophic forgetting, rehearsal and pseudorehearsal publication-title: Connection Science doi: 10.1080/09540099550039318 – volume: 11 start-page: 265 issue: 2 year: 2007 ident: 10.1016/j.neunet.2019.01.012_b132 article-title: Intrinsic motivation systems for autonomous mental development publication-title: IEEE Transactions on Evolutionary Computation doi: 10.1109/TEVC.2006.890271 – volume: 269 start-page: 981 year: 1995 ident: 10.1016/j.neunet.2019.01.012_b35 article-title: Recurrent excitation in neocortical circuits publication-title: Science doi: 10.1126/science.7638624 – volume: 48 start-page: 71 issue: 1 year: 1993 ident: 10.1016/j.neunet.2019.01.012_b39 article-title: Learning and development in neural networks: The importance of starting small publication-title: Cognition doi: 10.1016/0010-0277(93)90058-4 – volume: 88 start-page: 32 year: 2017 ident: 10.1016/j.neunet.2019.01.012_b60 article-title: Biologically plausible learning in neural networks with modulatory feedback publication-title: Neural Networks doi: 10.1016/j.neunet.2017.01.007 – year: 2018 ident: 10.1016/j.neunet.2019.01.012_b83 article-title: Fearnet: Brain-inspired model for incremental learning – volume: 97 start-page: 285 issue: 2 year: 1990 ident: 10.1016/j.neunet.2019.01.012_b149 article-title: Connectionist models of recognition memory: Constraints imposed by learning and forgetting functions publication-title: Psychological Review doi: 10.1037/0033-295X.97.2.285 – volume: 10 start-page: 389 year: 2000 ident: 10.1016/j.neunet.2019.01.012_b131 article-title: Computational principles of learning in the neocortex and hippocampus publication-title: Hippocampus doi: 10.1002/1098-1063(2000)10:4<389::AID-HIPO5>3.0.CO;2-P – start-page: 41 year: 2009 ident: 10.1016/j.neunet.2019.01.012_b15 article-title: Curriculum learning – volume: 11 start-page: 339 issue: 5 year: 2010 ident: 10.1016/j.neunet.2019.01.012_b32 article-title: New neurons and new memories: how does adult hippocampal neurogenesis affect learning and memory? publication-title: Nature Reviews Neuroscience doi: 10.1038/nrn2822 – volume: 538 start-page: 471 year: 2016 ident: 10.1016/j.neunet.2019.01.012_b62 article-title: Hybrid computing using a neural network with dynamic external memory publication-title: Nature doi: 10.1038/nature20101 – volume: 9 start-page: 723 year: 2006 ident: 10.1016/j.neunet.2019.01.012_b5 article-title: Potential role for adult neurogenesis in the encoding of time in new memories. publication-title: Nature Neuroscience doi: 10.1038/nn1707 – ident: 10.1016/j.neunet.2019.01.012_b151 doi: 10.1109/CVPR.2017.587 – ident: 10.1016/j.neunet.2019.01.012_b152 – year: 2018 ident: 10.1016/j.neunet.2019.01.012_b193 article-title: Lifelong learning with dynamically expandable networks – volume: 56 start-page: 337 issue: 2 year: 1993 ident: 10.1016/j.neunet.2019.01.012_b24 article-title: Differentiation of newly born neurons and glia in the dentate gyrus of the adult rat publication-title: Neuroscience doi: 10.1016/0306-4522(93)90335-D – year: 2005 ident: 10.1016/j.neunet.2019.01.012_b190 – volume: 95 start-page: 245 issue: 2 year: 2017 ident: 10.1016/j.neunet.2019.01.012_b66 article-title: Neuroscience-inspired artificial intelligence publication-title: Neuron Review doi: 10.1016/j.neuron.2017.06.011 – volume: 356 start-page: 73 year: 2017 ident: 10.1016/j.neunet.2019.01.012_b86 article-title: Engrams and circuits crucial for systems consolidation of a memory publication-title: Science doi: 10.1126/science.aam6808 – volume: 6 start-page: 100 year: 1994 ident: 10.1016/j.neunet.2019.01.012_b121 article-title: The role of constraints in hebbian learning publication-title: Neural Computation doi: 10.1162/neco.1994.6.1.100 – ident: 10.1016/j.neunet.2019.01.012_b29 – year: 1999 ident: 10.1016/j.neunet.2019.01.012_b57 – volume: 22 start-page: 1345 issue: 10 year: 2010 ident: 10.1016/j.neunet.2019.01.012_b135 article-title: A survey on transfer learning publication-title: IEEE Transactions on Knowledge and Data Engineering doi: 10.1109/TKDE.2009.191 – volume: 109 start-page: 75 year: 2015 ident: 10.1016/j.neunet.2019.01.012_b168 article-title: Short-term plasticity as cause-effect hypothesis testing is distal reward learning publication-title: Biological Cybernetics doi: 10.1007/s00422-014-0628-0 – volume: 24 start-page: 104 year: 1989 ident: 10.1016/j.neunet.2019.01.012_b115 article-title: CaTastrophic interference in connectionist networks: The sequential learning problem publication-title: The Psychology of Learning & Motivation – year: 1949 ident: 10.1016/j.neunet.2019.01.012_b68 – start-page: 361 year: 2017 ident: 10.1016/j.neunet.2019.01.012_b88 article-title: Impact of structural plasticity on memory formation and decline – volume: 30 start-page: 1561 year: 1967 ident: 10.1016/j.neunet.2019.01.012_b78 article-title: Cortical and callosal connections concerned with the vertical meridian of visual fields in the cat publication-title: Journal of Neurophysiology doi: 10.1152/jn.1967.30.6.1561 – year: 2017 ident: 10.1016/j.neunet.2019.01.012_b12 article-title: Expectation learning for adaptive crossmodal stimuli association – volume: 10 start-page: 12 issue: 4 year: 2015 ident: 10.1016/j.neunet.2019.01.012_b33 article-title: Learning in nonstationary environments: A survey publication-title: IEEE Computational Intelligence Magazine doi: 10.1109/MCI.2015.2471196 – year: 2017 ident: 10.1016/j.neunet.2019.01.012_b159 article-title: Sim-to-real robot learning from pixels with progressive nets – year: 2012 ident: 10.1016/j.neunet.2019.01.012_b21 – volume: 93 start-page: 602 year: 1996 ident: 10.1016/j.neunet.2019.01.012_b165 article-title: Emergence of order in visual system development publication-title: Proceedings of the National Academy of Sciences doi: 10.1073/pnas.93.2.602 – year: 2018 ident: 10.1016/j.neunet.2019.01.012_b81 – volume: 110 start-page: 380 year: 2009 ident: 10.1016/j.neunet.2019.01.012_b93 article-title: Flexible shaping: how learning in small steps helps publication-title: Cognition doi: 10.1016/j.cognition.2008.11.014 – volume: 307 start-page: 14 year: 2018 ident: 10.1016/j.neunet.2019.01.012_b118 article-title: A self-organizing neural network architecture for learning human-object interactions publication-title: Neurocomputing doi: 10.1016/j.neucom.2018.04.015 – volume: 128 start-page: 612 year: 2002 ident: 10.1016/j.neunet.2019.01.012_b11 article-title: When and where do we apply what we learn? a taxonomy for far transfer publication-title: Psychological Bulletin doi: 10.1037/0033-2909.128.4.612 – year: 2007 ident: 10.1016/j.neunet.2019.01.012_b111 – ident: 10.1016/j.neunet.2019.01.012_b158 – year: 2009 ident: 10.1016/j.neunet.2019.01.012_b92 – volume: 5 start-page: 215 issue: 2 year: 1993 ident: 10.1016/j.neunet.2019.01.012_b110 article-title: Constraints on plasticity in a connectionist model of english past tense publication-title: Journal of Cognitive Neuroscience doi: 10.1162/jocn.1993.5.2.215 – volume: 333 start-page: 891 year: 2011 ident: 10.1016/j.neunet.2019.01.012_b184 article-title: Schema-dependent gene activation and memory encoding in neocortex publication-title: Science doi: 10.1126/science.1205274 – volume: 59 start-page: 334 year: 1997 ident: 10.1016/j.neunet.2019.01.012_b119 article-title: Dyslexic and category-specific aphasic impairments in a self-organizing feature map model of the lexicon publication-title: Brain & Language doi: 10.1006/brln.1997.1820 – year: 2015 ident: 10.1016/j.neunet.2019.01.012_b123 article-title: Multimodal transfer deep learning with applications in audio-visual recognition – start-page: 193 year: 2007 ident: 10.1016/j.neunet.2019.01.012_b30 article-title: Boosting for transfer learning |
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