LEADER 01737nam  2200373z- 450 
001 9910346748103321
005 20240301180038.0
035   $a(CKB)4920000000094233
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/41357
035   $a(EXLCZ)994920000000094233
100   $a20202102d2018      |y         0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aArtificial Neural Networks as Models of Neural Information Processing
210   $cFrontiers Media SA$d2018
215   $a1 electronic resource (220 p.)
225 1 $aFrontiers Research Topics
311   $a2-88945-401-0 
330   $aModern neural networks gave rise to major breakthroughs in several research areas. In neuroscience, we are witnessing a reappraisal of neural network theory and its relevance for understanding information processing in biological systems. The research presented in this book provides various perspectives on the use of artificial neural networks as models of neural information processing. We consider the biological plausibility of neural networks, performance improvements, spiking neural networks and the use of neural networks for understanding brain function.
610   $abrain imaging
610   $aartificial neural networks
610   $adeep learning
610   $aneural information processing
610   $abackpropagation
610   $aspiking neural networks
700   $aMarcel van Gerven$4auth$01279683
702   $aSander Bohte$4auth
906   $aBOOK
912   $a9910346748103321
996   $aArtificial Neural Networks as Models of Neural Information Processing$93015842
997   $aUNINA