LEADER 02219oam 2200517K 450 001 9910463718403321 005 20210113114721.0 010 $a0-262-32382-6 010 $a0-262-53412-6 010 $a0-262-32381-8 035 $a(CKB)2670000000600214 035 $a(StDuBDS)EDZ0001195969 035 $a(OCoLC)904398428$z(OCoLC)905918558$z(OCoLC)964647907$z(OCoLC)1055347654$z(OCoLC)1066460315$z(OCoLC)1081288599 035 $a(OCoLC-P)904398428 035 $a(MaCbMITP)9834 035 $a(MiAaPQ)EBC3339946 035 $a(EXLCZ)992670000000600214 100 $a20150305d2015 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $2rdacontent 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aBrain computation as hierarchical abstraction /$fDana H. Ballard 210 1$aCambridge, Massachusetts :$cThe MIT Press,$d[2015] 215 $a1 online resource (xiv, 440 pages) $cillustrations (black and white, and colour) 225 1 $aComputational neuroscience 311 $a0-262-02861-1 311 $a1-336-18331-4 320 $aIncludes bibliographical references and index. 330 8 $aThe vast differences between the brain's neural circuitry and a computer's silicon circuitry might suggest that they have nothing in common. In fact, as Dana Ballard argues in this book, computational tools are essential for understanding brain function. Ballard shows that the hierarchical organisation of the brain has many parallels with the hierarchical organisation of computing; as in silicon computing, the complexities of brain computation can be dramatically simplified when its computation is factored into different levels of abstraction. 410 0$aComputational neuroscience. 606 $aComputational neuroscience 606 $aNeurobiology 610 $aNEUROSCIENCE/General 615 0$aComputational neuroscience. 615 0$aNeurobiology. 676 $a612.8/23343 700 $aBallard$b Dana H$g(Dana Harry),$f1946-$017941 801 0$bOCoLC-P 801 1$bOCoLC-P 906 $aBOOK 912 $a9910463718403321 996 $aBrain computation as hierarchical abstraction$92460170 997 $aUNINA