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MARC Record from marc_columbia

Record ID marc_columbia/Columbia-extract-20221130-025.mrc:12621714:4008
Source marc_columbia
Download Link /show-records/marc_columbia/Columbia-extract-20221130-025.mrc:12621714:4008?format=raw

LEADER: 04008cam a2200721 i 4500
001 12039677
005 20211211225221.0
006 m o d
007 cr cnu---unuuu
008 150305s2015 maua ob 001 0 eng d
035 $a(OCoLC)ocn904398428
035 $a(NNC)12039677
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019 $a905918558$a964647907$a1055347654$a1066460315$a1081288599$a1164457870
020 $a9780262323819$q(electronic bk.)
020 $a0262323818$q(electronic bk.)
020 $a0262534126
020 $a9780262534123
020 $z9780262028615
020 $z0262028611
035 $a(OCoLC)904398428$z(OCoLC)905918558$z(OCoLC)964647907$z(OCoLC)1055347654$z(OCoLC)1066460315$z(OCoLC)1081288599$z(OCoLC)1164457870
037 $a22573/ctt17kkq4s$bJSTOR
037 $a9834$bMIT Press
037 $a9780262323819$bMIT Press
050 4 $aQP357.5$b.B35 2015eb
060 4 $aWL 337
072 7 $aMED$x075000$2bisacsh
072 7 $aSCI$x036000$2bisacsh
072 7 $aCOM062000$2bisacsh
072 7 $aSCI089000$2bisacsh
082 04 $a612.8/23343$223
049 $aZCUA
100 1 $aBallard, Dana H.$q(Dana Harry),$d1946-$eauthor.
245 10 $aBrain computation as hierarchical abstraction /$cDana H. Ballard.
264 1 $aCambridge, Massachusetts :$bThe MIT Press,$c[2015]
300 $a1 online resource (xiv, 440 pages)
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
490 1 $aComputational neuroscience
504 $aIncludes bibliographical references and index.
505 0 $aBrain computation -- Brain overview -- Neurons and circuits -- Cortical memory -- Programs via reinforcement -- Sensory-motor routines -- Motor routines -- Operating system -- Decision making -- Emotions -- Consciousness.
588 0 $aPrint version record.
520 8 $aThe vast differences between the brain's neural circuitry and a computer's silicon circuitry might suggest that they have nothing in common. In fact, as Dana Ballard argues in this book, computational tools are essential for understanding brain function. Ballard shows that the hierarchical organisation of the brain has many parallels with the hierarchical organisation of computing; as in silicon computing, the complexities of brain computation can be dramatically simplified when its computation is factored into different levels of abstraction.
650 0 $aComputational neuroscience.
650 0 $aNeurobiology.
650 12 $aBrain$xphysiology.
650 12 $aMental Processes$xphysiology.
650 22 $aModels, Neurological.
650 22 $aNerve Net$xphysiology.
650 22 $aNeural Networks, Computer.
650 22 $aNeurons$xphysiology.
650 7 $aMEDICAL$xPhysiology.$2bisacsh
650 7 $aSCIENCE$xLife Sciences$xHuman Anatomy & Physiology.$2bisacsh
650 7 $aCOMPUTERS$xData Modeling & Design.$2bisacsh
650 7 $aComputational neuroscience.$2fast$0(OCoLC)fst00872004
650 7 $aNeurobiology.$2fast$0(OCoLC)fst01036315
653 $aNEUROSCIENCE/General
655 4 $aElectronic books.
776 08 $iPrint version:$aBallard, Dana H. (Dana Harry), 1946-$tBrain computation as hierarchical abstraction$z9780262028615$w(DLC) 2014021822$w(OCoLC)881280260
830 0 $aComputational neuroscience.
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio12039677$zAll EBSCO eBooks
852 8 $blweb$hEBOOKS