MARC record from Internet Archive

LEADER: 02917cam 2200397 i 4500
001 9925176997001661
005 20150423154442.0
008 121217s2013 enka b 001 0 eng
010 $a 2012046211
019 $a847997899$a852936853
020 $a9780199794546
020 $a0199794545 (acid-free paper)
024 8 $a40022449003
035 $a(OCoLC)822667362$z(OCoLC)847997899
035 $a(OCoLC)ocn822667362
040 $aDLC$beng$erda$cDLC$dYDXCP$dBTCTA$dOCLCO$dNBU$dLMR$dIUL$dNGU$dIXA$dCDX$dBWX$dYUS$dOCLCF$dCHVBK$dORZ$dWUM$dOCLCQ
042 $apcc
050 00 $aQP376$b.E545 2013
082 00 $a612.8/2$223
100 1 $aEliasmith, Chris.
245 10 $aHow to build a brain :$ba neural architecture for biological cognition /$cChris Eliasmith.
264 1 $aOxford :$bOxford University Press,$c[2013]
300 $axvii, 456 pages :$billustrations ;$c26 cm.
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
338 $avolume$bnc$2rdacarrier
490 1 $aOxford series on cognitive models and architectures
504 $aIncludes bibliographical references (pages 417-445) and index.
520 $aOne goal of researchers in neuroscience, psychology, and artificial intelligence is to build theoretical models that are able to explain the flexibility and adaptiveness of biological systems. How to build a brain provides a detailed guided exploration of a new cognitive architecture that takes biological detail seriously, while addressing cognitive phenomena. The Semantic Pointer Architecture (SPA) introduced in this book provides a set of tools for constructing a wide range of biologically constrained perceptual, cognitive, and motor models. Examples of such models are provided, and they are shown to explain a wide range of data including single cell recordings, neural population activity, reaction times, error rates, choice behavior, and fMRI signals. Each of these models introduces a major feature of biological cognition addressed in the book, including semantics, syntax, control, learning, and memory. These models are not introduced as independent considerations of brain function, but instead integrated to give rise to what is currently the world's largest functional brain model. Along the way, the book considers neural coding, concept representation, neural dynamics, working memory, neuroanatomy, reinforcement learning, and spike-timing dependent plasticity. The book includes 8 detailed, hands-on tutorials exploiting the free Nengo neural simulation environment, providing practical experience with the concepts and models presented throughout.
650 0 $aBrain.
650 0 $aNeural circuitry.
650 0 $aNeural networks (Neurobiology)
650 0 $aCognition.
830 0 $aOxford series on cognitive models and architectures.
947 $cBOOK$fBOOK-COLS$g105.00$hCIRCSTACKS$iaa$lNULS$o20141006$q1
980 $a99960089647