A Survey of Encoding Techniques for Signal Processing in Spiking Neural Networks
Biologically inspired spiking neural networks are increasingly popular in the field of artificial intelligence due to their ability to solve complex problems while being power efficient. They do so by leveraging the timing of discrete spikes as main information carrier. Though, industrial applicatio...
Saved in:
| Published in | Neural processing letters Vol. 53; no. 6; pp. 4693 - 4710 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
Springer US
01.12.2021
Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1370-4621 1573-773X |
| DOI | 10.1007/s11063-021-10562-2 |
Cover
Loading…
| Abstract | Biologically inspired spiking neural networks are increasingly popular in the field of artificial intelligence due to their ability to solve complex problems while being power efficient. They do so by leveraging the timing of discrete spikes as main information carrier. Though, industrial applications are still lacking, partially because the question of how to encode incoming data into discrete spike events cannot be uniformly answered. In this paper, we summarise the signal encoding schemes presented in the literature and propose a uniform nomenclature to prevent the vague usage of ambiguous definitions. Therefore we survey both, the theoretical foundations as well as applications of the encoding schemes. This work provides a foundation in spiking signal encoding and gives an overview over different application-oriented implementations which utilise the schemes. |
|---|---|
| AbstractList | Biologically inspired spiking neural networks are increasingly popular in the field of artificial intelligence due to their ability to solve complex problems while being power efficient. They do so by leveraging the timing of discrete spikes as main information carrier. Though, industrial applications are still lacking, partially because the question of how to encode incoming data into discrete spike events cannot be uniformly answered. In this paper, we summarise the signal encoding schemes presented in the literature and propose a uniform nomenclature to prevent the vague usage of ambiguous definitions. Therefore we survey both, the theoretical foundations as well as applications of the encoding schemes. This work provides a foundation in spiking signal encoding and gives an overview over different application-oriented implementations which utilise the schemes. |
| Author | Auge, Daniel Mueller, Etienne Knoll, Alois Hille, Julian |
| Author_xml | – sequence: 1 givenname: Daniel orcidid: 0000-0002-9687-8912 surname: Auge fullname: Auge, Daniel email: daniel.auge@tum.de organization: Institut für Informatik VI, Technische Universität München – sequence: 2 givenname: Julian orcidid: 0000-0002-4707-052X surname: Hille fullname: Hille, Julian organization: Institut für Informatik VI, Technische Universität München, Infineon Technologies AG – sequence: 3 givenname: Etienne orcidid: 0000-0002-0559-0850 surname: Mueller fullname: Mueller, Etienne organization: Institut für Informatik VI, Technische Universität München – sequence: 4 givenname: Alois orcidid: 0000-0003-4840-076X surname: Knoll fullname: Knoll, Alois organization: Institut für Informatik VI, Technische Universität München |
| BookMark | eNp9kE9LAzEQxYNUsK1-AU8Bz6vJZHezOZZS_0CphVbwFrZptqatSU12lX57s64geOhpZpj3m3m8AepZZzVC15TcUkL4XaCU5CwhQBNKshwSOEN9mnGWcM5ee7FnnCRpDvQCDULYEhIxIH00H-FF4z_1EbsKT6xya2M3eKnVmzUfjQ64ch4vzMaWezz3TukQWoGxeHEwu7ad6cbH5UzXX87vwiU6r8p90Fe_dYhe7ifL8WMyfX54Go-miUpB1IliPE15qXIGQq8zoJmGrCxAcCK0KlgFBDIFOatSRUSRijiXFFYiF1xV6YoN0U139-Bda7SWW9f4aDNIELRgKaOcRBV0KuVdCF5X8uDNe-mPkhLZJie75GRMTv4kJyFCxT9ImbqsjbO1L83-NMo6NMQ_dqP9n6sT1De204LM |
| CitedBy_id | crossref_primary_10_1109_TCSI_2022_3204433 crossref_primary_10_1039_D4MH01676A crossref_primary_10_1109_TBCAS_2023_3238165 crossref_primary_10_1109_JLT_2024_3383719 crossref_primary_10_1007_s11063_023_11416_9 crossref_primary_10_3390_electronics13244858 crossref_primary_10_1109_LRA_2025_3546086 crossref_primary_10_1016_j_neucom_2022_10_067 crossref_primary_10_1016_j_neunet_2024_106977 crossref_primary_10_1109_JSEN_2024_3479238 crossref_primary_10_1007_s40820_024_01550_x crossref_primary_10_1109_JSEN_2024_3453927 crossref_primary_10_3389_fnbot_2022_1075647 crossref_primary_10_1016_j_inffus_2024_102427 crossref_primary_10_1002_adfm_202315323 crossref_primary_10_34133_adi_0044 crossref_primary_10_1109_TCAD_2023_3264167 crossref_primary_10_15622_ia_23_3_9 crossref_primary_10_3390_e27030267 crossref_primary_10_3103_S0027134924702400 crossref_primary_10_1007_s13534_024_00406_y crossref_primary_10_1016_j_neucom_2024_127934 crossref_primary_10_1109_ACCESS_2022_3179968 crossref_primary_10_1016_j_neucom_2023_01_087 crossref_primary_10_1016_j_eswa_2024_124010 crossref_primary_10_3390_s23167232 crossref_primary_10_1007_s12559_024_10355_4 crossref_primary_10_1016_j_neunet_2024_106423 crossref_primary_10_1109_TCDS_2023_3329044 crossref_primary_10_1109_TETCI_2024_3370028 crossref_primary_10_3390_electronics13112020 crossref_primary_10_1007_s11063_022_10783_z crossref_primary_10_1088_2634_4386_acad98 crossref_primary_10_1016_j_inffus_2024_102697 crossref_primary_10_3390_s23146578 crossref_primary_10_1145_3635032 crossref_primary_10_1016_j_engappai_2024_109415 crossref_primary_10_3390_s24123980 crossref_primary_10_23919_emsci_2023_0015 crossref_primary_10_1109_TNNLS_2023_3263008 crossref_primary_10_1162_neco_a_01638 crossref_primary_10_32604_cmc_2024_047240 crossref_primary_10_1007_s11063_023_11426_7 crossref_primary_10_1016_j_softx_2024_101759 crossref_primary_10_1016_j_knosys_2024_112865 crossref_primary_10_1109_TCSII_2022_3184313 crossref_primary_10_1142_S012906572250037X crossref_primary_10_1002_aisy_202200371 crossref_primary_10_1038_s41598_023_50201_5 crossref_primary_10_1016_j_jcp_2024_113266 crossref_primary_10_1109_JIOT_2024_3349533 crossref_primary_10_1002_aelm_202400075 crossref_primary_10_1587_transinf_2021EDP7237 crossref_primary_10_1007_s12293_022_00373_w crossref_primary_10_3389_fnins_2022_999029 crossref_primary_10_1162_neco_a_01706 crossref_primary_10_1109_ACCESS_2024_3444596 crossref_primary_10_3389_fnbot_2024_1361577 crossref_primary_10_3934_math_2023102 crossref_primary_10_1109_ACCESS_2023_3236800 crossref_primary_10_1109_ACCESS_2024_3391889 crossref_primary_10_3389_fmats_2023_1269992 crossref_primary_10_1016_j_inffus_2023_101943 crossref_primary_10_3389_fncom_2024_1363514 crossref_primary_10_1016_j_neucom_2024_128655 crossref_primary_10_1109_ACCESS_2023_3278098 crossref_primary_10_1109_JEDS_2022_3206317 crossref_primary_10_1109_MWC_016_2300560 crossref_primary_10_1109_ACCESS_2023_3282184 crossref_primary_10_1038_s44172_024_00315_z crossref_primary_10_3390_fi14120371 crossref_primary_10_1016_j_neucom_2024_128650 crossref_primary_10_1109_TCSI_2024_3450966 crossref_primary_10_1007_s10489_024_05689_3 |
| Cites_doi | 10.1016/j.neuron.2004.11.017 10.3389/fncom.2018.00048 10.1016/S0925-2312(01)00403-9 10.1109/TNNLS.2019.2906158 10.1016/j.neucom.2018.05.087 10.1016/j.neucom.2017.04.070 10.1007/978-3-642-24955-6_54 10.1016/j.cub.2008.02.023 10.1016/S0893-6080(97)00011-7 10.3389/fncel.2017.00236 10.1113/jphysiol.2002.031245 10.1016/j.neucom.2018.11.014 10.1016/j.neunet.2015.09.011 10.1152/jn.00987.2006 10.1016/j.neucom.2007.12.038 10.1038/14731 10.1038/35090500 10.1016/j.neuron.2009.01.008 10.1152/jn.00559.2007 10.1162/089976602753633367 10.1126/science.1149639 10.1152/jn.00921.2011 10.1016/j.visres.2006.07.026 10.1523/JNEUROSCI.0665-09.2009 10.1126/science.1225266 10.1016/j.jneumeth.2004.11.020 10.1113/jphysiol.1926.sp002308 10.1109/IJCNN.2005.1556220 10.1016/j.neunet.2018.12.002 10.1109/ISCAS.2010.5537164 10.1145/3320288.3320304 10.1016/j.neunet.2007.12.009 10.1007/978-3-540-69162-4_42 10.1016/0959-4388(94)90059-0 10.1109/JSSC.2007.914337 10.1109/IJCNN.2015.7280696 10.1109/ISCAS.2018.8351295 10.3389/fnins.2017.00682 10.1016/S0893-6080(01)00083-1 10.1016/0006-8993(71)90358-1 10.1016/j.neunet.2017.12.005 10.1007/978-3-540-74695-9_78 10.1002/mma.6241 10.1038/376033a0 10.1109/ISCAS.2016.7539039 10.1038/381520a0 10.23919/DATE.2017.7926983 10.1109/IJCNN.2003.1224019 10.1152/jn.1943.6.1.39 10.1109/72.991428 10.1109/ISCAS.2007.378038 10.1109/IJCNN.2010.5596676 10.1109/IJCNN.2016.7727355 10.1109/TNANO.2018.2815624 10.1109/CVPRW.2019.00217 10.1523/ENEURO.0134-15.2016 10.1146/annurev.neuro.31.061307.090723 10.1007/978-3-319-27212-2_9 10.1073/pnas.86.5.1698 10.3389/fncom.2018.00042 10.1162/neco.2007.19.11.2881 10.1017/CBO9780511815706 10.3389/fnbot.2017.00028 10.3389/fnins.2015.00481 10.1016/S0893-6080(01)00049-1 10.1016/j.conb.2004.07.007 10.3389/fncom.2015.00099 10.55782/ane-2011-1862 10.1007/978-1-4615-4831-7_19 10.3389/fnbot.2018.00035 10.1109/IJCNN.2016.7727212 10.3389/fnins.2015.00437 10.1038/35004588 10.1145/3316781.3317822 10.1162/08997660152002852 10.1109/TBCAS.2010.2075928 10.1109/ICRA.2018.8460482 10.3389/fnins.2017.00350 10.1017/CBO9781107447615 10.1016/j.neucom.2017.04.003 10.1109/TPAMI.2007.56 10.1109/TCSII.2006.882208 10.1007/978-3-662-57715-8 10.1016/j.tins.2004.10.010 10.1109/TNNLS.2013.2245677 10.1016/j.neucom.2013.06.052 10.1038/nn.4243 10.1016/S0303-2647(98)00050-1 10.1109/TPAMI.2013.71 10.1109/TNN.2004.833303 10.1152/jn.1996.76.2.1356 10.1109/IJCNN.2017.7966099 10.1038/338334a0 10.1038/nn1177 10.3389/fncir.2016.00023 10.1016/j.ins.2017.04.017 |
| ContentType | Journal Article |
| Copyright | The Author(s) 2021 Copyright Springer Nature B.V. Dec 2021 |
| Copyright_xml | – notice: The Author(s) 2021 – notice: Copyright Springer Nature B.V. Dec 2021 |
| DBID | C6C AAYXX CITATION 8FE 8FG AFKRA ARAPS AZQEC BENPR BGLVJ CCPQU DWQXO GNUQQ HCIFZ JQ2 K7- P5Z P62 PHGZM PHGZT PKEHL PQEST PQGLB PQQKQ PQUKI PRINS PSYQQ |
| DOI | 10.1007/s11063-021-10562-2 |
| DatabaseName | Springer Nature OA Free Journals CrossRef ProQuest SciTech Collection ProQuest Technology Collection ProQuest Central UK/Ireland Advanced Technologies & Aerospace Collection ProQuest Central Essentials ProQuest Central Technology collection ProQuest One Community College ProQuest Central Korea ProQuest Central Student ProQuest SciTech Premium Collection ProQuest Computer Science Collection ProQuest Computer Science Database (NC LIVE) ProQuest Advanced Technologies & Aerospace Database (NC LIVE) ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Premium ProQuest One Academic ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China ProQuest One Psychology |
| DatabaseTitle | CrossRef Advanced Technologies & Aerospace Collection ProQuest One Psychology Computer Science Database ProQuest Central Student Technology Collection ProQuest One Academic Middle East (New) ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Essentials ProQuest Computer Science Collection ProQuest One Academic Eastern Edition SciTech Premium Collection ProQuest One Community College ProQuest Technology Collection ProQuest SciTech Collection ProQuest Central China ProQuest Central Advanced Technologies & Aerospace Database ProQuest One Applied & Life Sciences ProQuest One Academic UKI Edition ProQuest Central Korea ProQuest Central (New) ProQuest One Academic ProQuest One Academic (New) |
| DatabaseTitleList | Advanced Technologies & Aerospace Collection CrossRef |
| Database_xml | – sequence: 1 dbid: C6C name: Springer Nature OA Free Journals url: http://www.springeropen.com/ sourceTypes: Publisher – sequence: 2 dbid: 8FG name: ProQuest Technology Collection url: https://search.proquest.com/technologycollection1 sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Computer Science |
| EISSN | 1573-773X |
| EndPage | 4710 |
| ExternalDocumentID | 10_1007_s11063_021_10562_2 |
| GrantInformation_xml | – fundername: Bundesministerium für Bildung und Forschung grantid: 16ES0992K funderid: http://dx.doi.org/10.13039/501100002347 |
| GroupedDBID | -4Z -5F -5G -BR -EM -Y2 -~C .86 .DC .VR 06D 0R~ 0VY 123 1N0 1SB 2.D 203 28- 29N 2J2 2JN 2JY 2KG 2LR 2P1 2VQ 2~H 30V 4.4 406 408 409 40D 40E 53G 5QI 5VS 67Z 6NX 8TC 8UJ 95- 95. 95~ 96X AAAVM AABHQ AAHNG AAIAL AAJKR AAJSJ AAKKN AANZL AAOBN AARHV AARTL AATVU AAUYE AAWCG AAYIU AAYOK AAYQN AAYTO AAYZH ABAKF ABBBX ABBXA ABDZT ABECU ABEEZ ABFTD ABFTV ABHLI ABHQN ABJNI ABJOX ABKCH ABKTR ABMNI ABMOR ABMQK ABNWP ABQBU ABQSL ABSXP ABTEG ABTHY ABTKH ABTMW ABULA ABWNU ABXPI ACACY ACBXY ACGFS ACHSB ACHXU ACKNC ACMDZ ACMLO ACOKC ACOMO ACSNA ACULB ACZOJ ADHHG ADHIR ADIMF ADINQ ADKNI ADKPE ADRFC ADTPH ADURQ ADYFF ADZKW AEBTG AEFIE AEFQL AEGAL AEGNC AEJHL AEJRE AEKMD AENEX AEOHA AEPYU AESKC AETLH AEVLU AEXYK AFBBN AFEXP AFGCZ AFGXO AFKRA AFLOW AFQWF AFWTZ AFZKB AGAYW AGDGC AGGDS AGJBK AGMZJ AGQEE AGQMX AGRTI AGWIL AGWZB AGYKE AHAVH AHBYD AHKAY AHSBF AHYZX AIAKS AIIXL AILAN AITGF AJBLW AJRNO AJZVZ ALMA_UNASSIGNED_HOLDINGS ALWAN AMKLP AMXSW AMYLF AMYQR AOCGG ARAPS ARMRJ ASPBG AVWKF AXYYD AYJHY AZFZN B-. BA0 BBWZM BDATZ BENPR BGLVJ BGNMA C24 C6C CAG CCPQU COF CS3 CSCUP DDRTE DL5 DNIVK DPUIP DU5 EBLON EBS EIOEI EJD ESBYG FEDTE FERAY FFXSO FIGPU FINBP FNLPD FRRFC FSGXE FWDCC GGCAI GGRSB GJIRD GNWQR GQ6 GQ7 GQ8 GXS H13 HCIFZ HF~ HG5 HG6 HMJXF HQYDN HRMNR HVGLF HZ~ I09 IHE IJ- IKXTQ ITM IWAJR IXC IXE IZIGR IZQ I~X I~Z J-C J0Z JBSCW JCJTX JZLTJ K7- KDC KOV KOW LAK LLZTM M4Y MA- N2Q NB0 NDZJH NPVJJ NQJWS NU0 O9- O93 O9G O9I O9J OAM OVD P19 P2P P9O PF0 PSYQQ PT5 QOK QOS R4E R89 R9I RHV RNI RNS ROL RPX RSV RZC RZE RZK S16 S1Z S26 S27 S28 S3B SAP SCJ SCLPG SDH SDM SHX SISQX SNE SNPRN SNX SOHCF SOJ SPH SPISZ SRMVM SSLCW STPWE SZN T13 T16 TEORI TSG TSK TSV TUC U2A UG4 UOJIU UTJUX UZXMN VC2 VFIZW W23 W48 WK8 YLTOR Z45 Z7R Z7X Z81 Z83 Z88 Z8M Z8R Z8U Z8W Z92 ZMTXR ~EX AASML AAYXX ABDBE ABFSG ACSTC ADHKG AEZWR AFHIU AGQPQ AHPBZ AHWEU AIXLP AYFIA CITATION PHGZM PHGZT 8FE 8FG AZQEC DWQXO GNUQQ JQ2 P62 PKEHL PQEST PQGLB PQQKQ PQUKI PRINS |
| ID | FETCH-LOGICAL-c429t-c37447ac6329ed5215e25a829709ec83f2025c263f4c09849202a12b9697cf4b3 |
| IEDL.DBID | C6C |
| ISSN | 1370-4621 |
| IngestDate | Wed Aug 13 09:03:18 EDT 2025 Thu Apr 24 23:03:34 EDT 2025 Tue Jul 01 01:09:34 EDT 2025 Fri Feb 21 02:47:43 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 6 |
| Keywords | Neural coding Rate coding Temporal coding Spiking neural networks Neuromorphic computing |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c429t-c37447ac6329ed5215e25a829709ec83f2025c263f4c09849202a12b9697cf4b3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ORCID | 0000-0002-9687-8912 0000-0002-4707-052X 0000-0002-0559-0850 0000-0003-4840-076X |
| OpenAccessLink | https://doi.org/10.1007/s11063-021-10562-2 |
| PQID | 2918343170 |
| PQPubID | 2043838 |
| PageCount | 18 |
| ParticipantIDs | proquest_journals_2918343170 crossref_primary_10_1007_s11063_021_10562_2 crossref_citationtrail_10_1007_s11063_021_10562_2 springer_journals_10_1007_s11063_021_10562_2 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2021-12-01 |
| PublicationDateYYYYMMDD | 2021-12-01 |
| PublicationDate_xml | – month: 12 year: 2021 text: 2021-12-01 day: 01 |
| PublicationDecade | 2020 |
| PublicationPlace | New York |
| PublicationPlace_xml | – name: New York – name: Dordrecht |
| PublicationTitle | Neural processing letters |
| PublicationTitleAbbrev | Neural Process Lett |
| PublicationYear | 2021 |
| Publisher | Springer US Springer Nature B.V |
| Publisher_xml | – name: Springer US – name: Springer Nature B.V |
| References | Adrian, Zotterman (CR2) 1926; 61 Hamanaka, Torikai, Saito (CR33) 2006; 53 CR38 CR37 Truong, Pham, Min (CR98) 2018; 17 CR34 Moser, Kropff, Moser (CR58) 2008; 31 Johansson, Birznieks (CR39) 2004; 7 Abraham, Spors, Carleton, Margrie, Kuner, Schaefer (CR1) 2004; 44 Saal, Vijayakumar, Johansson (CR78) 2009; 29 Kheradpisheh, Ganjtabesh, Thorpe, Masquelier (CR43) 2018; 99 Hawkins, Blakeslee (CR35) 2004 CR49 Wu, Si, Nakahara (CR101) 2002; 14 CR47 Petro, Kasabov, Kiss (CR70) 2020; 31 CR46 CR45 Kayser, Montemurro, Logothetis, Panzeri (CR42) 2009; 61 Kasabov (CR41) 2019 Zeldenrust, Wadman, Englitz (CR108) 2018; 12 Gerstner, Kistler, Naud, Paninski (CR29) 2014 Tavanaei, Maida (CR92) 2019; 330 Maass (CR54) 1997; 10 Panzeri, Senatore, Montemurro, Petersen (CR66) 2007; 98 Rolls, Franco, Aggelopoulos, Jerez (CR74) 2006; 46 Brader, Senn, Fusi (CR11) 2007; 19 Olshausen, Field (CR62) 2004; 14 Storchi, Bale, Biella, Petersen (CR89) 2012; 108 CR59 Steinmetz, Roy, Fitzgerald, Hsiao, Johnson, Niebur (CR88) 2000; 404 Stromatias, Soto, Serrano-Gotarredona, Linares-Barranco (CR90) 2017; 11 CR56 Fairhall, Lewen, Bialek, de Ruyter van Steveninck (CR24) 2001; 412 Wysoski, Benuskova, Kasabov (CR104) 2008; 71 Delorme, Thorpe (CR17) 2001; 14 CR53 CR52 Oswald, Doiron, Maler (CR64) 2007; 97 CR51 Serrano-Gotarredona, Linares-Barranco (CR84) 2015; 9 Zhang, Zhou, Zhi, Du, Chen (CR109) 2019; 33 Thorpe, Delorme, Van Rullen (CR94) 2001; 14 Li, Tsien (CR48) 2017; 11 Margrie, Schaefer (CR55) 2003; 546 Serre, Wolf, Bileschi, Riesenhuber, Poggio (CR85) 2007; 29 Schrauwen, D’Haene, Verstraeten, Van Campenhout (CR80) 2008; 21 Rueckauer, Lungu, Hu, Pfeiffer, Liu (CR76) 2017; 11 Ahmad, Lavin, Purdy, Agha (CR3) 2017; 262 CR67 Eliasmith, Anderson (CR21) 2004 CR65 CR61 CR79 Gerstner, Kistler (CR28) 2002 CR75 CR72 Rullen, Thorpe (CR77) 2001; 13 Hopfield (CR36) 1995; 376 CR110 Pérez-Carrasco, Zhao, Serrano, Acha, Serrano-Gotarredona, Chen, Linares-Barranco (CR73) 2013; 35 Gray, König, Engel, Singer (CR31) 1989; 338 Galambos, Davis (CR25) 1943; 6 CR4 Gautrais, Thorpe (CR26) 1998; 48 Tavanaei, Ghodrati, Kheradpisheh, Masquelier, Maida (CR91) 2019; 111 CR6 CR5 Turnbull, Dian, Gross (CR99) 2005; 145 CR8 Gollisch, Meister (CR30) 2008; 319 Bing, Meschede, Röhrbein, Huang, Knoll (CR7) 2018; 12 CR87 Borst, Theunissen (CR10) 1999; 2 Kasabov, Scott, Tu, Marks, Sengupta, Capecci, Othman, Doborjeh, Murli, Hartono, Espinosa-Ramos, Zhou, Alvi, Wang, Taylor, Feigin, Gulyaev, Mahmoud, Hou, Yang (CR40) 2016; 78 CR83 CR81 Shadlen, Newsome (CR86) 1994; 4 Gray, Singer (CR32) 1989; 86 Yu, Tang, Tan, Li (CR105) 2013; 24 Paulun, Wendt, Kasabov (CR68) 2018; 12 CR15 Eliasmith, Stewart, Choo, Bekolay, DeWolf, Tang, Rasmussen (CR22) 2012; 338 CR14 CR12 CR97 CR96 Perrinet, Samuelides, Thorpe (CR69) 2004; 15 CR93 Denéve, Machens (CR18) 2016; 19 Kim, Kim, Huh, Lee, Choi (CR44) 2018; 311 Nuntalid, Dhoble, Kasabov, Lu, Zhang, Kwok (CR60) 2011 Diehl, Cook (CR19) 2015; 9 Chen, Ng, Bermak, Law, Martinez (CR13) 2011; 5 Ponulak, Kasinski (CR71) 2011; 71 Thorpe, Fize, Marlot (CR95) 1996; 381 Montemurro, Rasch, Murayama, Logothetis, Panzeri (CR57) 2008; 18 Yu, Tang, Tan, Yu (CR106) 2014; 138 CR23 CR20 CR102 CR103 Gawne, Kjaer, Richmond (CR27) 1996; 76 Liu, Yue (CR50) 2017; 249 Bohte, La Poutré, Kok (CR9) 2002; 13 Sengupta, Kasabov (CR82) 2017; 406 Delorme, Perrinet, Thorpe (CR16) 2001; 38—-40 VanRullen, Guyonneau, Thorpe (CR100) 2005; 28 Orchard, Jayawant, Cohen, Thakor (CR63) 2015; 9 CR107 SN Truong (10562_CR98) 2018; 17 HT Chen (10562_CR13) 2011; 5 10562_CR14 SM Bohte (10562_CR9) 2002; 13 10562_CR12 10562_CR97 10562_CR96 10562_CR93 10562_CR8 10562_CR6 10562_CR4 A Tavanaei (10562_CR92) 2019; 330 10562_CR5 L Turnbull (10562_CR99) 2005; 145 NM Abraham (10562_CR1) 2004; 44 10562_CR87 F Zeldenrust (10562_CR108) 2018; 12 10562_CR83 T Serre (10562_CR85) 2007; 29 L Perrinet (10562_CR69) 2004; 15 F Ponulak (10562_CR71) 2011; 71 10562_CR81 R Galambos (10562_CR25) 1943; 6 TJ Gawne (10562_CR27) 1996; 76 D Liu (10562_CR50) 2017; 249 R Storchi (10562_CR89) 2012; 108 R VanRullen (10562_CR100) 2005; 28 C Eliasmith (10562_CR22) 2012; 338 10562_CR34 S Panzeri (10562_CR66) 2007; 98 NK Kasabov (10562_CR41) 2019 H Hamanaka (10562_CR33) 2006; 53 ET Rolls (10562_CR74) 2006; 46 Q Yu (10562_CR105) 2013; 24 L Zhang (10562_CR109) 2019; 33 JJ Hopfield (10562_CR36) 1995; 376 W Maass (10562_CR54) 1997; 10 W Gerstner (10562_CR28) 2002 L Paulun (10562_CR68) 2018; 12 PN Steinmetz (10562_CR88) 2000; 404 W Gerstner (10562_CR29) 2014 N Nuntalid (10562_CR60) 2011 10562_CR23 10562_CR20 C Kayser (10562_CR42) 2009; 61 S Ahmad (10562_CR3) 2017; 262 JM Brader (10562_CR11) 2007; 19 B Rueckauer (10562_CR76) 2017; 11 B Schrauwen (10562_CR80) 2008; 21 CM Gray (10562_CR32) 1989; 86 EI Moser (10562_CR58) 2008; 31 10562_CR15 A Tavanaei (10562_CR91) 2019; 111 10562_CR56 S Wu (10562_CR101) 2002; 14 10562_CR53 10562_CR51 A Borst (10562_CR10) 1999; 2 10562_CR52 MN Shadlen (10562_CR86) 1994; 4 SG Wysoski (10562_CR104) 2008; 71 RS Johansson (10562_CR39) 2004; 7 PU Diehl (10562_CR19) 2015; 9 J Hawkins (10562_CR35) 2004 M Li (10562_CR48) 2017; 11 A Delorme (10562_CR17) 2001; 14 C Eliasmith (10562_CR21) 2004 J Gautrais (10562_CR26) 1998; 48 CM Gray (10562_CR31) 1989; 338 10562_CR49 10562_CR46 AMM Oswald (10562_CR64) 2007; 97 S Denéve (10562_CR18) 2016; 19 T Gollisch (10562_CR30) 2008; 319 10562_CR47 10562_CR45 B Petro (10562_CR70) 2020; 31 MA Montemurro (10562_CR57) 2008; 18 S Thorpe (10562_CR95) 1996; 381 A Delorme (10562_CR16) 2001; 38—-40 TW Margrie (10562_CR55) 2003; 546 JA Pérez-Carrasco (10562_CR73) 2013; 35 AL Fairhall (10562_CR24) 2001; 412 Q Yu (10562_CR106) 2014; 138 10562_CR37 Z Bing (10562_CR7) 2018; 12 10562_CR38 10562_CR79 10562_CR107 10562_CR75 10562_CR103 10562_CR102 10562_CR72 SR Kheradpisheh (10562_CR43) 2018; 99 J Kim (10562_CR44) 2018; 311 N Sengupta (10562_CR82) 2017; 406 T Serrano-Gotarredona (10562_CR84) 2015; 9 10562_CR67 HP Saal (10562_CR78) 2009; 29 ED Adrian (10562_CR2) 1926; 61 10562_CR65 10562_CR61 10562_CR110 RV Rullen (10562_CR77) 2001; 13 BA Olshausen (10562_CR62) 2004; 14 G Orchard (10562_CR63) 2015; 9 E Stromatias (10562_CR90) 2017; 11 N Kasabov (10562_CR40) 2016; 78 S Thorpe (10562_CR94) 2001; 14 10562_CR59 |
| References_xml | – year: 2014 ident: CR29 publication-title: Neuronal dynamics: from single neurons to networks and models of cognition – ident: CR45 – ident: CR97 – volume: 44 start-page: 865 issue: 5 year: 2004 end-page: 876 ident: CR1 article-title: Maintaining accuracy at the expense of speed: stimulus similarity defines odor discrimination time in mice publication-title: Neuron doi: 10.1016/j.neuron.2004.11.017 – volume: 12 start-page: 48 year: 2018 ident: CR108 article-title: Neural coding with bursts - current state and future perspectives publication-title: Front Comput Neurosci doi: 10.3389/fncom.2018.00048 – volume: 61 start-page: 465 issue: 4 year: 1926 end-page: 483 ident: CR2 article-title: The impulses produced by sensory nerve endings: part 3 impulses set up by touch and pressure publication-title: J Physiol – ident: CR51 – volume: 31 start-page: 69 year: 2008 end-page: 89 ident: CR58 article-title: Place cells, grid cells, and the brain’s spatial representation system publication-title: Ann Rev Neurosci – volume: 38—-40 start-page: 539 year: 2001 end-page: 545 ident: CR16 article-title: Networks of integrate-and-fire neurons using rank order coding B: Spike timing dependent plasticity and emergence of orientation selectivity publication-title: Neurocomputing doi: 10.1016/S0925-2312(01)00403-9 – volume: 31 start-page: 358 issue: 2 year: 2020 end-page: 370 ident: CR70 article-title: Selection and optimization of temporal spike encoding methods for spiking neural networks publication-title: IEEE Trans Neural Netw Learn Syst doi: 10.1109/TNNLS.2019.2906158 – ident: CR8 – volume: 11 start-page: 350 year: 2017 ident: CR90 article-title: An event-driven classifier for spiking neural networks fed with synthetic or dynamic vision sensor data publication-title: Front Neurosci – volume: 311 start-page: 373 year: 2018 end-page: 386 ident: CR44 article-title: Deep neural networks with weighted spikes publication-title: Neurocomputing doi: 10.1016/j.neucom.2018.05.087 – volume: 9 start-page: 99 year: 2015 ident: CR19 article-title: Unsupervised learning of digit recognition using spike-timing-dependent plasticity publication-title: Frontiers Comput Neurosci – volume: 262 start-page: 134 year: 2017 end-page: 147 ident: CR3 article-title: Unsupervised real-time anomaly detection for streaming data publication-title: Neurocomputing doi: 10.1016/j.neucom.2017.04.070 – start-page: 451 year: 2011 end-page: 460 ident: CR60 article-title: EEG classification with BSA spike encoding algorithm and evolving probabilistic spiking neural network publication-title: Neural information processing doi: 10.1007/978-3-642-24955-6_54 – volume: 18 start-page: 375 issue: 5 year: 2008 end-page: 380 ident: CR57 article-title: Phase-of-firing coding of natural visual stimuli in primary visual cortex publication-title: Current Biol doi: 10.1016/j.cub.2008.02.023 – volume: 9 start-page: 437 year: 2015 ident: CR63 article-title: Converting static image datasets to spiking neuromorphic datasets using saccades publication-title: Front Neurosci – volume: 17 start-page: 10 issue: 3 year: 2018 ident: CR98 article-title: Spatial-pooling memristor crossbar converting sensory information to sparse distributed representation of cortical neurons publication-title: IEEE Trans Nanotechnol – volume: 10 start-page: 1659 issue: 9 year: 1997 end-page: 1671 ident: CR54 article-title: Networks of spiking neurons: the third generation of neural network models publication-title: Neural Netw doi: 10.1016/S0893-6080(97)00011-7 – volume: 376 start-page: 33 issue: 6535 year: 1995 ident: CR36 article-title: Pattern recognition computation using action potential timing for stimulus representation publication-title: Nature – volume: 86 start-page: 1698 issue: 5 year: 1989 end-page: 1702 ident: CR32 article-title: Stimulus-specific neuronal oscillations in orientation columns of cat visual cortex publication-title: Proc Nat Acad Sci – ident: CR5 – volume: 48 start-page: 57 issue: 1–3 year: 1998 end-page: 65 ident: CR26 article-title: Rate coding versus temporal order coding: a theoretical approach publication-title: Biosystems – volume: 76 start-page: 1356 issue: 2 year: 1996 end-page: 1360 ident: CR27 article-title: Latency: another potential code for feature binding in striate cortex publication-title: J Neurophys – volume: 14 start-page: 795 issue: 6–7 year: 2001 end-page: 803 ident: CR17 article-title: Face identification using one spike per neuron: resistance to image degradations publication-title: Neural Netw – ident: CR47 – ident: CR72 – volume: 404 start-page: 187 issue: 6774 year: 2000 end-page: 190 ident: CR88 article-title: Attention modulates synchronized neuronal firing in primate somatosensory cortex publication-title: Nature – volume: 11 start-page: 236 year: 2017 ident: CR48 article-title: Neural code-neural self-information theory on how cell-assembly code rises from spike time and neuronal variability publication-title: Front Cellular Neurosci doi: 10.3389/fncel.2017.00236 – year: 2004 ident: CR35 publication-title: On intelligence: how a new understanding of the brain will lead to the creation of truly intelligent machines – volume: 4 start-page: 569 issue: 4 year: 1994 end-page: 579 ident: CR86 article-title: Noise, neural codes and cortical organization publication-title: Current Opinion Neurobiol – volume: 546 start-page: 363 issue: 2 year: 2003 end-page: 374 ident: CR55 article-title: Theta oscillation coupled spike latencies yield computational vigour in a mammalian sensory system publication-title: J Physiol doi: 10.1113/jphysiol.2002.031245 – volume: 12 start-page: 42 year: 2018 ident: CR68 article-title: A retinotopic spiking neural network system for accurate recognition of moving objects using NeuCube and dynamic vision sensors publication-title: Front Comput Neurosci – volume: 330 start-page: 39 year: 2019 end-page: 47 ident: CR92 article-title: BP-STDP: Approximating backpropagation using spike timing dependent plasticity publication-title: Neurocomputing doi: 10.1016/j.neucom.2018.11.014 – ident: CR6 – volume: 249 start-page: 212 year: 2017 end-page: 224 ident: CR50 article-title: Fast unsupervised learning for visual pattern recognition using spike timing dependent plasticity publication-title: Neurocomputing – volume: 111 start-page: 47 year: 2019 end-page: 63 ident: CR91 article-title: Deep learning in spiking neural networks publication-title: Neural Netw – volume: 33 start-page: 1319 year: 2019 end-page: 1326 ident: CR109 article-title: Tdsnn: From deep neural networks to deep spike neural networks with temporal-coding publication-title: Proc AAAI Conf Artif Intell – year: 2019 ident: CR41 publication-title: Time-space, spiking neural networks and brain-inspired artificial intelligence – ident: CR103 – ident: CR38 – volume: 78 start-page: 1 year: 2016 end-page: 14 ident: CR40 article-title: Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: design methodology and selected applications publication-title: Neural Netw doi: 10.1016/j.neunet.2015.09.011 – ident: CR52 – volume: 97 start-page: 2731 issue: 4 year: 2007 end-page: 2743 ident: CR64 article-title: Interval coding I burst interspike intervals as indicators of stimulus intensity publication-title: J Neurophysiol doi: 10.1152/jn.00987.2006 – volume: 71 start-page: 2563 issue: 13 year: 2008 end-page: 2575 ident: CR104 article-title: Fast and adaptive network of spiking neurons for multi-view visual pattern recognition publication-title: Neurocomputing doi: 10.1016/j.neucom.2007.12.038 – ident: CR83 – volume: 12 start-page: 35 year: 2018 ident: CR7 article-title: A survey of robotics control based on learning-inspired spiking neural networks publication-title: Front Neurorobot – volume: 14 start-page: 481 issue: 4 year: 2004 end-page: 487 ident: CR62 article-title: Sparse coding of sensory inputs publication-title: Current Opinion Neurobiol – volume: 19 start-page: 2881 issue: 11 year: 2007 end-page: 2912 ident: CR11 article-title: Learning real-world stimuli in a neural network with spike-driven synaptic dynamics publication-title: Neural Comput – volume: 35 start-page: 2706 issue: 11 year: 2013 end-page: 2719 ident: CR73 article-title: Mapping from frame-driven to frame-free event-driven vision systems by low-rate rate coding and coincidence processing-application to feedforward convnets publication-title: IEEE Trans Pattern Anal Machi Intell – volume: 338 start-page: 334 issue: 6213 year: 1989 ident: CR31 article-title: Oscillatory responses in cat visual cortex exhibit inter-columnar synchronization which reflects global stimulus properties publication-title: Nature – ident: CR102 – year: 2002 ident: CR28 publication-title: Spiking neuron models: single neurons, populations, plasticity – ident: CR49 – ident: CR93 – ident: CR4 – ident: CR87 – ident: CR12 – volume: 2 start-page: 947 issue: 11 year: 1999 end-page: 957 ident: CR10 article-title: Information theory and neural coding publication-title: Nat Neurosci doi: 10.1038/14731 – ident: CR61 – volume: 412 start-page: 787 issue: 6849 year: 2001 end-page: 792 ident: CR24 article-title: Efficiency and ambiguity in an adaptive neural code publication-title: Nature doi: 10.1038/35090500 – volume: 7 start-page: 170 issue: 2 year: 2004 ident: CR39 article-title: First spikes in ensembles of human tactile afferents code complex spatial fingertip events publication-title: Nat Neurosci – volume: 61 start-page: 597 issue: 4 year: 2009 end-page: 608 ident: CR42 article-title: Spike-phase coding boosts and stabilizes information carried by spatial and temporal spike patterns publication-title: Neuron doi: 10.1016/j.neuron.2009.01.008 – year: 2004 ident: CR21 publication-title: Neural engineering: computation, representation, and dynamics in neurobiological systems – ident: CR46 – volume: 98 start-page: 1064 issue: 3 year: 2007 end-page: 1072 ident: CR66 article-title: Correcting for the sampling bias problem in spike train information measures publication-title: J Neurophysiol doi: 10.1152/jn.00559.2007 – volume: 406 start-page: 133 year: 2017 end-page: 145 ident: CR82 article-title: Spike-time encoding as a data compression technique for pattern recognition of temporal data publication-title: Inf Sci – volume: 14 start-page: 999 issue: 5 year: 2002 end-page: 1026 ident: CR101 article-title: Population coding and decoding in a neural field: a computational study publication-title: Neural Comput doi: 10.1162/089976602753633367 – ident: CR96 – ident: CR67 – ident: CR75 – ident: CR15 – volume: 6 start-page: 39 issue: 1 year: 1943 end-page: 57 ident: CR25 article-title: The response of single auditory-nerve fibers to acoustic stimulation publication-title: J Neurophysiol – volume: 13 start-page: 1255 issue: 6 year: 2001 end-page: 1283 ident: CR77 article-title: Rate coding versus temporal order coding: what the retinal ganglion cells tell the visual cortex publication-title: Neural Comput – volume: 28 start-page: 1 issue: 1 year: 2005 end-page: 4 ident: CR100 article-title: Spike times make sense publication-title: Trends Neurosci – ident: CR81 – volume: 11 start-page: 682 year: 2017 ident: CR76 article-title: Conversion of continuous-valued deep networks to efficient event-driven networks for image classification publication-title: Front Neurosci – volume: 381 start-page: 520 issue: 6582 year: 1996 ident: CR95 article-title: Speed of processing in the human visual system publication-title: Nature – volume: 319 start-page: 1108 issue: 5866 year: 2008 end-page: 1111 ident: CR30 article-title: Rapid neural coding in the retina with relative spike latencies publication-title: Science doi: 10.1126/science.1149639 – volume: 99 start-page: 56 year: 2018 end-page: 67 ident: CR43 article-title: STDP-based spiking deep convolutional neural networks for object recognition publication-title: Neural Netw – volume: 108 start-page: 1810 issue: 7 year: 2012 end-page: 1821 ident: CR89 article-title: Comparison of latency and rate coding for the direction of whisker deflection in the subcortical somatosensory pathway publication-title: J Neurophysiol doi: 10.1152/jn.00921.2011 – volume: 138 start-page: 3 year: 2014 end-page: 13 ident: CR106 article-title: A brain-inspired spiking neural network model with temporal encoding and learning publication-title: Neurocomputing – volume: 46 start-page: 4193 issue: 25 year: 2006 end-page: 4205 ident: CR74 article-title: Information in the first spike, the order of spikes, and the number of spikes provided by neurons in the inferior temporal visual cortex publication-title: Vis Res doi: 10.1016/j.visres.2006.07.026 – ident: CR14 – ident: CR37 – ident: CR53 – volume: 29 start-page: 8022 issue: 25 year: 2009 end-page: 8031 ident: CR78 article-title: Information about complex fingertip parameters in individual human tactile afferent neurons publication-title: J Neurosci doi: 10.1523/JNEUROSCI.0665-09.2009 – volume: 29 start-page: 411 issue: 3 year: 2007 end-page: 426 ident: CR85 article-title: Robust object recognition with cortex-like mechanisms publication-title: IEEE Trans Pattern Anal Mach Intell – volume: 338 start-page: 1202 issue: 6111 year: 2012 end-page: 1205 ident: CR22 article-title: A large-scale model of the functioning brain publication-title: Science doi: 10.1126/science.1225266 – volume: 5 start-page: 160 issue: 2 year: 2011 end-page: 168 ident: CR13 article-title: Spike latency coding in biologically inspired microelectronic nose publication-title: IEEE Trans Biomed Circuit Syst – ident: CR79 – ident: CR56 – volume: 21 start-page: 511 issue: 2–3 year: 2008 end-page: 523 ident: CR80 article-title: Compact hardware liquid state machines on FPGA for real-time speech recognition publication-title: Neural Netw – volume: 24 start-page: 1539 issue: 10 year: 2013 end-page: 1552 ident: CR105 article-title: Rapid feedforward computation by temporal encoding and learning with spiking neurons publication-title: IEEE Trans Neural Netw Learn Syst – volume: 14 start-page: 715 issue: 6–7 year: 2001 end-page: 725 ident: CR94 article-title: Spike-based strategies for rapid processing publication-title: Neural Netw – ident: CR23 – volume: 9 start-page: 481 year: 2015 ident: CR84 article-title: Poker-DVS and MNIST-DVS. Their history, how they were made, and other details publication-title: Front Neurosci – volume: 15 start-page: 1164 issue: 5 year: 2004 end-page: 1175 ident: CR69 article-title: Coding static natural images using spiking event times: do neurons cooperate? publication-title: IEEE Trans Neural Netw – ident: CR65 – volume: 19 start-page: 375 issue: 3 year: 2016 ident: CR18 article-title: Efficient codes and balanced networks publication-title: Nature Neurosci – volume: 71 start-page: 409 issue: 4 year: 2011 end-page: 433 ident: CR71 article-title: Introduction to spiking neural networks: Information processing, learning and applications publication-title: Acta Neurobiol Experiment – volume: 13 start-page: 426 issue: 2 year: 2002 end-page: 435 ident: CR9 article-title: Unsupervised clustering with spiking neurons by sparse temporal coding and multilayer RBF networks publication-title: IEEE Trans Neural Netw – volume: 145 start-page: 23 issue: 1–2 year: 2005 end-page: 35 ident: CR99 article-title: The string method of burst identification in neuronal spike trains publication-title: J Neurosci Methods doi: 10.1016/j.jneumeth.2004.11.020 – ident: CR34 – ident: CR110 – ident: CR59 – ident: CR107 – volume: 53 start-page: 1049 issue: 10 year: 2006 end-page: 1053 ident: CR33 article-title: Quantized spiking neuron with A/D conversion functions publication-title: IEEE Trans Circuit Syst II: Express Briefs – ident: CR20 – volume: 61 start-page: 465 issue: 4 year: 1926 ident: 10562_CR2 publication-title: J Physiol doi: 10.1113/jphysiol.1926.sp002308 – ident: 10562_CR52 doi: 10.1109/IJCNN.2005.1556220 – volume: 111 start-page: 47 year: 2019 ident: 10562_CR91 publication-title: Neural Netw doi: 10.1016/j.neunet.2018.12.002 – volume: 10 start-page: 1659 issue: 9 year: 1997 ident: 10562_CR54 publication-title: Neural Netw doi: 10.1016/S0893-6080(97)00011-7 – volume: 29 start-page: 8022 issue: 25 year: 2009 ident: 10562_CR78 publication-title: J Neurosci doi: 10.1523/JNEUROSCI.0665-09.2009 – volume: 38—-40 start-page: 539 year: 2001 ident: 10562_CR16 publication-title: Neurocomputing doi: 10.1016/S0925-2312(01)00403-9 – ident: 10562_CR51 doi: 10.1109/ISCAS.2010.5537164 – ident: 10562_CR8 doi: 10.1145/3320288.3320304 – volume: 21 start-page: 511 issue: 2–3 year: 2008 ident: 10562_CR80 publication-title: Neural Netw doi: 10.1016/j.neunet.2007.12.009 – ident: 10562_CR102 doi: 10.1007/978-3-540-69162-4_42 – start-page: 451 volume-title: Neural information processing year: 2011 ident: 10562_CR60 doi: 10.1007/978-3-642-24955-6_54 – volume: 4 start-page: 569 issue: 4 year: 1994 ident: 10562_CR86 publication-title: Current Opinion Neurobiol doi: 10.1016/0959-4388(94)90059-0 – ident: 10562_CR49 doi: 10.1109/JSSC.2007.914337 – ident: 10562_CR20 doi: 10.1109/IJCNN.2015.7280696 – ident: 10562_CR75 doi: 10.1109/ISCAS.2018.8351295 – volume: 11 start-page: 682 year: 2017 ident: 10562_CR76 publication-title: Front Neurosci doi: 10.3389/fnins.2017.00682 – volume: 145 start-page: 23 issue: 1–2 year: 2005 ident: 10562_CR99 publication-title: J Neurosci Methods doi: 10.1016/j.jneumeth.2004.11.020 – ident: 10562_CR46 – volume: 319 start-page: 1108 issue: 5866 year: 2008 ident: 10562_CR30 publication-title: Science doi: 10.1126/science.1149639 – volume: 14 start-page: 715 issue: 6–7 year: 2001 ident: 10562_CR94 publication-title: Neural Netw doi: 10.1016/S0893-6080(01)00083-1 – volume: 18 start-page: 375 issue: 5 year: 2008 ident: 10562_CR57 publication-title: Current Biol doi: 10.1016/j.cub.2008.02.023 – volume: 311 start-page: 373 year: 2018 ident: 10562_CR44 publication-title: Neurocomputing doi: 10.1016/j.neucom.2018.05.087 – ident: 10562_CR61 doi: 10.1016/0006-8993(71)90358-1 – volume: 99 start-page: 56 year: 2018 ident: 10562_CR43 publication-title: Neural Netw doi: 10.1016/j.neunet.2017.12.005 – ident: 10562_CR4 – ident: 10562_CR103 doi: 10.1007/978-3-540-74695-9_78 – ident: 10562_CR79 doi: 10.1002/mma.6241 – volume: 376 start-page: 33 issue: 6535 year: 1995 ident: 10562_CR36 publication-title: Nature doi: 10.1038/376033a0 – ident: 10562_CR59 doi: 10.1109/ISCAS.2016.7539039 – volume: 381 start-page: 520 issue: 6582 year: 1996 ident: 10562_CR95 publication-title: Nature doi: 10.1038/381520a0 – ident: 10562_CR14 doi: 10.23919/DATE.2017.7926983 – volume: 12 start-page: 48 year: 2018 ident: 10562_CR108 publication-title: Front Comput Neurosci doi: 10.3389/fncom.2018.00048 – volume: 2 start-page: 947 issue: 11 year: 1999 ident: 10562_CR10 publication-title: Nat Neurosci doi: 10.1038/14731 – ident: 10562_CR81 doi: 10.1109/IJCNN.2003.1224019 – volume: 6 start-page: 39 issue: 1 year: 1943 ident: 10562_CR25 publication-title: J Neurophysiol doi: 10.1152/jn.1943.6.1.39 – volume: 13 start-page: 426 issue: 2 year: 2002 ident: 10562_CR9 publication-title: IEEE Trans Neural Netw doi: 10.1109/72.991428 – ident: 10562_CR15 doi: 10.1109/ISCAS.2007.378038 – volume: 412 start-page: 787 issue: 6849 year: 2001 ident: 10562_CR24 publication-title: Nature doi: 10.1038/35090500 – volume: 33 start-page: 1319 year: 2019 ident: 10562_CR109 publication-title: Proc AAAI Conf Artif Intell – volume: 31 start-page: 358 issue: 2 year: 2020 ident: 10562_CR70 publication-title: IEEE Trans Neural Netw Learn Syst doi: 10.1109/TNNLS.2019.2906158 – volume: 262 start-page: 134 year: 2017 ident: 10562_CR3 publication-title: Neurocomputing doi: 10.1016/j.neucom.2017.04.070 – ident: 10562_CR87 doi: 10.1109/IJCNN.2010.5596676 – volume: 97 start-page: 2731 issue: 4 year: 2007 ident: 10562_CR64 publication-title: J Neurophysiol doi: 10.1152/jn.00987.2006 – volume-title: Neural engineering: computation, representation, and dynamics in neurobiological systems year: 2004 ident: 10562_CR21 – ident: 10562_CR45 doi: 10.1109/IJCNN.2016.7727355 – volume: 71 start-page: 2563 issue: 13 year: 2008 ident: 10562_CR104 publication-title: Neurocomputing doi: 10.1016/j.neucom.2007.12.038 – volume: 17 start-page: 10 issue: 3 year: 2018 ident: 10562_CR98 publication-title: IEEE Trans Nanotechnol doi: 10.1109/TNANO.2018.2815624 – ident: 10562_CR37 – ident: 10562_CR107 – ident: 10562_CR12 doi: 10.1109/CVPRW.2019.00217 – ident: 10562_CR72 doi: 10.1523/ENEURO.0134-15.2016 – ident: 10562_CR110 – volume: 31 start-page: 69 year: 2008 ident: 10562_CR58 publication-title: Ann Rev Neurosci doi: 10.1146/annurev.neuro.31.061307.090723 – ident: 10562_CR83 doi: 10.1007/978-3-319-27212-2_9 – ident: 10562_CR23 – volume: 86 start-page: 1698 issue: 5 year: 1989 ident: 10562_CR32 publication-title: Proc Nat Acad Sci doi: 10.1073/pnas.86.5.1698 – volume: 98 start-page: 1064 issue: 3 year: 2007 ident: 10562_CR66 publication-title: J Neurophysiol doi: 10.1152/jn.00559.2007 – volume: 12 start-page: 42 year: 2018 ident: 10562_CR68 publication-title: Front Comput Neurosci doi: 10.3389/fncom.2018.00042 – volume: 338 start-page: 1202 issue: 6111 year: 2012 ident: 10562_CR22 publication-title: Science doi: 10.1126/science.1225266 – volume: 330 start-page: 39 year: 2019 ident: 10562_CR92 publication-title: Neurocomputing doi: 10.1016/j.neucom.2018.11.014 – ident: 10562_CR97 – volume: 19 start-page: 2881 issue: 11 year: 2007 ident: 10562_CR11 publication-title: Neural Comput doi: 10.1162/neco.2007.19.11.2881 – volume-title: Spiking neuron models: single neurons, populations, plasticity year: 2002 ident: 10562_CR28 doi: 10.1017/CBO9780511815706 – ident: 10562_CR56 doi: 10.3389/fnbot.2017.00028 – volume: 108 start-page: 1810 issue: 7 year: 2012 ident: 10562_CR89 publication-title: J Neurophysiol doi: 10.1152/jn.00921.2011 – volume: 9 start-page: 481 year: 2015 ident: 10562_CR84 publication-title: Front Neurosci doi: 10.3389/fnins.2015.00481 – volume: 14 start-page: 795 issue: 6–7 year: 2001 ident: 10562_CR17 publication-title: Neural Netw doi: 10.1016/S0893-6080(01)00049-1 – volume: 14 start-page: 481 issue: 4 year: 2004 ident: 10562_CR62 publication-title: Current Opinion Neurobiol doi: 10.1016/j.conb.2004.07.007 – volume: 9 start-page: 99 year: 2015 ident: 10562_CR19 publication-title: Frontiers Comput Neurosci doi: 10.3389/fncom.2015.00099 – volume: 44 start-page: 865 issue: 5 year: 2004 ident: 10562_CR1 publication-title: Neuron doi: 10.1016/j.neuron.2004.11.017 – volume: 71 start-page: 409 issue: 4 year: 2011 ident: 10562_CR71 publication-title: Acta Neurobiol Experiment doi: 10.55782/ane-2011-1862 – ident: 10562_CR96 doi: 10.1007/978-1-4615-4831-7_19 – volume: 12 start-page: 35 year: 2018 ident: 10562_CR7 publication-title: Front Neurorobot doi: 10.3389/fnbot.2018.00035 – ident: 10562_CR65 doi: 10.1109/IJCNN.2016.7727212 – volume: 9 start-page: 437 year: 2015 ident: 10562_CR63 publication-title: Front Neurosci doi: 10.3389/fnins.2015.00437 – volume: 404 start-page: 187 issue: 6774 year: 2000 ident: 10562_CR88 publication-title: Nature doi: 10.1038/35004588 – ident: 10562_CR67 doi: 10.1145/3316781.3317822 – volume: 13 start-page: 1255 issue: 6 year: 2001 ident: 10562_CR77 publication-title: Neural Comput doi: 10.1162/08997660152002852 – volume: 5 start-page: 160 issue: 2 year: 2011 ident: 10562_CR13 publication-title: IEEE Trans Biomed Circuit Syst doi: 10.1109/TBCAS.2010.2075928 – ident: 10562_CR6 doi: 10.1109/ICRA.2018.8460482 – volume: 546 start-page: 363 issue: 2 year: 2003 ident: 10562_CR55 publication-title: J Physiol doi: 10.1113/jphysiol.2002.031245 – volume: 14 start-page: 999 issue: 5 year: 2002 ident: 10562_CR101 publication-title: Neural Comput doi: 10.1162/089976602753633367 – volume: 11 start-page: 350 year: 2017 ident: 10562_CR90 publication-title: Front Neurosci doi: 10.3389/fnins.2017.00350 – volume-title: Neuronal dynamics: from single neurons to networks and models of cognition year: 2014 ident: 10562_CR29 doi: 10.1017/CBO9781107447615 – ident: 10562_CR47 – ident: 10562_CR53 – volume: 46 start-page: 4193 issue: 25 year: 2006 ident: 10562_CR74 publication-title: Vis Res doi: 10.1016/j.visres.2006.07.026 – volume: 249 start-page: 212 year: 2017 ident: 10562_CR50 publication-title: Neurocomputing doi: 10.1016/j.neucom.2017.04.003 – volume: 29 start-page: 411 issue: 3 year: 2007 ident: 10562_CR85 publication-title: IEEE Trans Pattern Anal Mach Intell doi: 10.1109/TPAMI.2007.56 – ident: 10562_CR38 – volume: 53 start-page: 1049 issue: 10 year: 2006 ident: 10562_CR33 publication-title: IEEE Trans Circuit Syst II: Express Briefs doi: 10.1109/TCSII.2006.882208 – volume-title: Time-space, spiking neural networks and brain-inspired artificial intelligence year: 2019 ident: 10562_CR41 doi: 10.1007/978-3-662-57715-8 – volume: 28 start-page: 1 issue: 1 year: 2005 ident: 10562_CR100 publication-title: Trends Neurosci doi: 10.1016/j.tins.2004.10.010 – volume: 24 start-page: 1539 issue: 10 year: 2013 ident: 10562_CR105 publication-title: IEEE Trans Neural Netw Learn Syst doi: 10.1109/TNNLS.2013.2245677 – ident: 10562_CR5 – volume: 61 start-page: 597 issue: 4 year: 2009 ident: 10562_CR42 publication-title: Neuron doi: 10.1016/j.neuron.2009.01.008 – volume: 138 start-page: 3 year: 2014 ident: 10562_CR106 publication-title: Neurocomputing doi: 10.1016/j.neucom.2013.06.052 – volume: 19 start-page: 375 issue: 3 year: 2016 ident: 10562_CR18 publication-title: Nature Neurosci doi: 10.1038/nn.4243 – volume: 48 start-page: 57 issue: 1–3 year: 1998 ident: 10562_CR26 publication-title: Biosystems doi: 10.1016/S0303-2647(98)00050-1 – volume: 35 start-page: 2706 issue: 11 year: 2013 ident: 10562_CR73 publication-title: IEEE Trans Pattern Anal Machi Intell doi: 10.1109/TPAMI.2013.71 – volume: 15 start-page: 1164 issue: 5 year: 2004 ident: 10562_CR69 publication-title: IEEE Trans Neural Netw doi: 10.1109/TNN.2004.833303 – volume: 76 start-page: 1356 issue: 2 year: 1996 ident: 10562_CR27 publication-title: J Neurophys doi: 10.1152/jn.1996.76.2.1356 – volume: 78 start-page: 1 year: 2016 ident: 10562_CR40 publication-title: Neural Netw doi: 10.1016/j.neunet.2015.09.011 – ident: 10562_CR93 doi: 10.1109/IJCNN.2017.7966099 – volume: 338 start-page: 334 issue: 6213 year: 1989 ident: 10562_CR31 publication-title: Nature doi: 10.1038/338334a0 – volume: 7 start-page: 170 issue: 2 year: 2004 ident: 10562_CR39 publication-title: Nat Neurosci doi: 10.1038/nn1177 – volume-title: On intelligence: how a new understanding of the brain will lead to the creation of truly intelligent machines year: 2004 ident: 10562_CR35 – volume: 11 start-page: 236 year: 2017 ident: 10562_CR48 publication-title: Front Cellular Neurosci doi: 10.3389/fncel.2017.00236 – ident: 10562_CR34 doi: 10.3389/fncir.2016.00023 – volume: 406 start-page: 133 year: 2017 ident: 10562_CR82 publication-title: Inf Sci doi: 10.1016/j.ins.2017.04.017 |
| SSID | ssj0010020 |
| Score | 2.587842 |
| SecondaryResourceType | review_article |
| Snippet | Biologically inspired spiking neural networks are increasingly popular in the field of artificial intelligence due to their ability to solve complex problems... |
| SourceID | proquest crossref springer |
| SourceType | Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 4693 |
| SubjectTerms | Artificial Intelligence Codes Complex Systems Computational Intelligence Computer Science Energy consumption Industrial applications Neural networks Neurons Signal encoding Signal processing Spiking Taxonomy |
| SummonAdditionalLinks | – databaseName: ProQuest Central dbid: BENPR link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3NS8MwFA-6Xbz4Lc4vcvCmwSZN0-YkKhMRHMM52K2kr6kMpJt2Cv735nWpRUGPJWkOLy_v90veFyGnAjIALjkThmdMRiGwTIqcFbJIgENu4xyzkR8G6m4s7yfRxD-4VT6ssrGJtaHOZ4Bv5BdCO-VDtAsu568Mu0ahd9W30FglXWeCk6hDutf9wfDx24-AbKi-csUBk0pwnzazTJ5ztyH0YWJIl2MBTPyEppZv_nKR1shzu0nWPWWkV8s93iIrttwmG007BupP5w4ZXtHR-9uH_aSzgvZLmCEs0aemSGtFHT-lo-kzLubzA3DCtKSj-RRfzClW6nCDg2VoeLVLxrf9p5s75hsmMHCwsmAQxlLGBlQotM0dMEdWRAaTZwNtIQkL4RgOCBUWEgKdSO2-DReZVjqGQmbhHumUs9LuE6pBK66UMMpkMhGFtg7qcsOtFtyYKOgR3sgqBV9NHJtavKRtHWSUb-rkm9byTUWPnH3_M1_W0vh39lGzBak_V1XaakGPnDfb0g7_vdrB_6sdkjVRawLGqRyRzuLt3R47trHITrxKfQGwQc4G priority: 102 providerName: ProQuest |
| Title | A Survey of Encoding Techniques for Signal Processing in Spiking Neural Networks |
| URI | https://link.springer.com/article/10.1007/s11063-021-10562-2 https://www.proquest.com/docview/2918343170 |
| Volume | 53 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1bS8MwFA66vfjiXZzOkQffNLikado8dmMXFMdwG8ynkqapDKQbuwj-e3O6dsOhgi8NJWkoJ5fva885XxC6ZTrSmnJKmKIR4a6jScRZTBKe-Jrq2HgxZCM_90R3xB_H7jiXyYFcmB3__cPCwlPmaYTAK4vVxG63ZRd0xsAxK5objwHwnuzjyqsTLhjNE2R-7uM7CG2Z5Y4zNMOY9jE6zMkhDtajeYL2THqKjoqDF3C-Ds9QP8CD1fzDfOJpglupngIA4WEhx7rAloniweQNOsszAaDBJMWD2QT-jWPQ5LCVvXUQ-OIcjdqtYbNL8qMRiLYAsiTa8Tj3lBYOkya2EOwa5ipIk61Lo30nYZbLaCachOu69Lm094qySArp6YRHzgUqpdPUXCIstRRUCKaEirjPEmksqMWKGsmoUm69gmhhq1DnuuFwfMV7uFU8BvuG1r5hZt-QVdDd5pnZWjXjz9bVYgjCfAUtQibtZgPsxr7AfTEs2-rfe7v6X_NrdMCymQERKlVUWs5X5sbyjGVUQ_t-u1ND5aDdaPSg7Lw-tWzZaPX6L7Vs-tnriAVf_EjL0w |
| linkProvider | Springer Nature |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1LbxMxEB6V9gAXylOkLeADnMBiPev1xgdUFUiV0jaqSCr1tni9XhQJbdImBfVP8Rs7s49GINFbjyt75zAez3zjeQG8QZ97r7SS6FQudRJ7mWssZKnLvle-CGnB1cjHIzM81V_PkrM1-NPVwnBaZacTa0VdzDy_kX9AS8LH1i7anZ9LnhrF0dVuhEYjFofh6je5bIuPB1_ofN8i7g8mn4eynSogPenepfRxqnXqvInRhoKsVxIwcVxhGtng-3GJBAM8mrjUPrJ9benbKcytsakvdR4T3XuwQTDD0i3a-DQYnXy7iVsw-qpdvDSS2qBqy3SaYj3yvjhmyilkhDok_m0KV_j2n5Bsben2H8HDFqKKvUamHsNaqJ7AZjf-QbTa4Cmc7Inx5cWvcCVmpRhUfsZmUEy6prALQXhYjKc_mFhbj8AbppUYz6f8Qi-4MwgtjppU9MUzOL0TVj6H9WpWhRcgrLdGGYPOuFz3sbSBTGvhVLConEuiHqiOV5lvu5fzEI2f2arvMvM3I_5mNX8z7MG7m3_mTe-OW3fvdEeQtfd4ka2krgfvu2NZLf-f2tbt1F7D_eHk-Cg7OhgdbsMDrKWCc2R2YH15cRleEtJZ5q9a8RLw_a4l-hpUcwig |
| linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1dS8MwFA2ygfjitzidmgffNKxJ07R5LLoxp45BN9hbSdNUBtKNrRP89yb9WFVU8LEkDeXeJOek954bAK6JjKTEFCMicISoY0sUURKjhCaexDJWbmzUyM9D1p_QwdSZflLx59nuVUiy0DSYKk1p1lnESacWvumTjIk_mnQsjeBIb8JNj2n60ABN3x8Eg00kwfCh_NDlWogygkvhzM-jfAWnmnF-C5Lm2NPbB7slaYR-4eUDsKXSQ7BXXcgAy_V5BEY-DNbLN_UO5wnspnJugAmOqzKtK6gZKgxmL2awUiFgOsxSGCxm5p85NLU6dOOwSA5fHYNJrzu-66PyygQkNbBkSNoupa6QzCZcxRqaHUUcYeSzFlfSsxOiOY4kzE6otLhHuX4WmESccVcmNLJPQCOdp-oUQC45w4wRwUREPZJwpcEuFlhxgoVwrBbAla1CWdYTN9davIZ1JWRj31DbN8ztG5IWuNm8syiqafzZu125ICxX1iokXG9ChvXoD7it3FI3_z7a2f-6X4Ht0X0vfHoYPp6DHZJPEpPE0gaNbLlWF5qKZNFlOds-AGCp0fU |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=A+Survey+of+Encoding+Techniques+for+Signal+Processing+in+Spiking+Neural+Networks&rft.jtitle=Neural+processing+letters&rft.au=Auge%2C+Daniel&rft.au=Hille%2C+Julian&rft.au=Mueller%2C+Etienne&rft.au=Knoll%2C+Alois&rft.date=2021-12-01&rft.pub=Springer+US&rft.issn=1370-4621&rft.eissn=1573-773X&rft.volume=53&rft.issue=6&rft.spage=4693&rft.epage=4710&rft_id=info:doi/10.1007%2Fs11063-021-10562-2&rft.externalDocID=10_1007_s11063_021_10562_2 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1370-4621&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1370-4621&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1370-4621&client=summon |