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010   $a3-662-57715-1
024 7 $a10.1007/978-3-662-57715-8
035   $a(CKB)4100000005958480
035   $a(MiAaPQ)EBC5507897
035   $a(DE-He213)978-3-662-57715-8
035   $a(PPN)229911994
035   $a(EXLCZ)994100000005958480
100   $a20180829d2019      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aTime-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence /$fby Nikola K. Kasabov
205   $a1st ed. 2019.
210  1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2019.
215   $a1 online resource (742 pages)
225 1 $aSpringer Series on Bio- and Neurosystems,$x2520-8535 ;$v7
311   $a3-662-57713-5 
320   $aIncludes bibliographical references and index.
330   $aSpiking neural networks (SNN) are biologically inspired computational models that represent and process information internally as trains of spikes. This monograph book presents the classical theory and applications of SNN, including original author?s contribution to the area. The book introduces for the first time not only deep learning and deep knowledge representation in the human brain and in brain-inspired SNN, but takes that further to develop new types of AI systems, called in the book brain-inspired AI (BI-AI). BI-AI systems are illustrated on: cognitive brain data, including EEG, fMRI and DTI; audio-visual data; brain-computer interfaces; personalized modelling in bio-neuroinformatics; multisensory streaming data modelling in finance, environment and ecology; data compression; neuromorphic hardware implementation. Future directions, such as the integration of multiple modalities, such as quantum-, molecular- and brain information processing, is presented in the last chapter. The book is a research book for postgraduate students, researchers and practitioners across wider areas, including computer and information sciences, engineering, applied mathematics, bio- and neurosciences.
410  0$aSpringer Series on Bio- and Neurosystems,$x2520-8535 ;$v7
606   $aComputational intelligence
606   $aBioinformatics
606   $aNeurosciences
606   $aRobotics
606   $aAutomation
606   $aPattern perception
615  0$aComputational intelligence.
615  0$aBioinformatics.
615  0$aNeurosciences.
615  0$aRobotics.
615  0$aAutomation.
615  0$aPattern perception.
676   $a005.117
700   $aKasabov$b Nikola K$4aut$4http://id.loc.gov/vocabulary/relators/aut$061744
906   $aBOOK
912   $a9910484709703321
996   $aTime-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence$92821803
997   $aUNINA