NeuCube: A spiking neural network architecture for mapping, learning and understanding of spatio-temporal brain data - Kasabov, Nikola K. (Neural networks, 2014)
Keywords: Action Potentials; Animals; Applied sciences; Artificial intelligence; Associative memory; Biological and medical sciences; Brain; Brain - anatomy & histology; Brain - physiology; Brain Mapping - methods; Central nervous system; Computation; Computational neuro-genetic modeling; Computer science; control theory; systems; Connectionism. Neural networks; Data mining; Data processing. List processing. Character string processing; EEG; Electrophysiology; Exact sciences and technology; Finite automata for spatio-temporal data; FMRI; Fundamental and applied biological sciences. Psychology; Gene regulatory networks; Genes; Humans; Learning; Mathematical models; Memory organisation. Data processing; Models, Neurological; Molecular and cellular biology; Molecular genetics; Neural networks; Neural Networks (Computer); Neural Pathways - anatomy & histology; Neural Pathways - physiology; Neurogenetic data; Neurons - physiology; Pattern recognition; Software; Spatio-temporal brain data; Spiking; Spiking neural networks; Stimuli; Time; Transcription. Transcription factor. Splicing. Rna processing; Vertebrates: nervous system and sense organs; Associative memory; Finite automata for spatio-temporal data; Gene regulatory networks; Computational neuro-genetic modeling; EEG; Spiking neural networks; Neurogenetic data; Spatio-temporal brain data; Pattern recognition; Data mining; FMRI; Space time correlation; Brain; Spiking neuron; Central nervous system; Network architecture; Temporal databases; Electroencephalography; Modeling; Encephalon; Neuroscience; Static model; Classification; Internal structure; Learning algorithm; Bioinformatics; Data analysis; Cluster; Functional analysis; Neural network; Gene expression; Nuclear magnetic resonance imaging; Information processing; Medical imagery; Artificial intelligence; Data gathering; Functional imaging