| Record ID | marc_columbia/Columbia-extract-20221130-007.mrc:301362732:3803 |
| Source | marc_columbia |
| Download Link | /show-records/marc_columbia/Columbia-extract-20221130-007.mrc:301362732:3803?format=raw |
LEADER: 03803mam a22005054a 4500
001 3301800
005 20221020032922.0
008 010615t20022002maua b 001 0 eng c
010 $a 2001042806
015 $aGBA2-Y7182
016 7 $a101120690$2DNLM
020 $a0262182246 (hc. : alk. paper)
035 $a(OCoLC)ocm47177754
035 $9AUU0027CU
035 $a(NNC)3301800
035 $a3301800
040 $aDNLM/DLC$cDLC$dNLM$dIXA$dUKM$dOrLoB-B
042 $apcc
050 00 $aQP376$b.P677 2002
060 00 $a2002 F-881
060 10 $aWL 335$bP9615 2002
082 00 $a612.8/2/011$221
245 00 $aProbabilistic models of the brain :$bperception and neural function / edited by Rajesh P.N. Rao, Bruno A. Olshausen, Michael S. Lewicki.
260 $aCambridge, Mass. :$bMIT Press,$c[2002], ©2002.
300 $ax, 324 pages :$billustrations ;$c28 cm.
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
490 1 $aNeural information processing series
500 $a"A Bradford book."
504 $aIncludes bibliographical references and index.
505 00 $g1.$tBayesian Modelling of Visual Perception /$rPascal Mamassian, Michael Landy and Laurence T. Maloney --$g2.$tVision, Psychophysics and Bayes /$rPaul Schrater and Daniel Kersten --$g3.$tVisual Cue Integration for Depth Perception /$rRobert A. Jacobs --$g4.$tVelocity Likelihoods in Biological and Machine Vision /$rYair Weiss and David J. Fleet --$g5.$tLearning Motion Analysis /$rWilliam Freeman, John Haddon and Egon Pasztor --$g6.$tInformation Theoretic Approach to Neural Coding and Parameter Estimation: A Perspective /$rJean-Pierre Nadal --$g7.$tFrom Generic to Specific: An Information Theoretic Perspective on the Value of High-Level Information /$rA. L. Yuille and James M. Coughlan --$g8.$tSparse Correlation Kernel Reconstruction and Superresolution /$rConstantine P. Papageorgiou, Federico Girosi and Tomaso Poggio --$g9.$tNatural Image Statistics for Cortical Orientation Map Development /$rChristian Piepenbrock --
505 80 $g10.$tNatural Image Statistics and Divisive Normalization /$rMartin J. Wainwright, Odelia Schwartz and Eero P. Simoncelli --$g11.$tA Probabilistic Network Model of Population Responses /$rRichard S. Zemel and Jonathan Pillow --$g12.$tEfficient Coding of Time-Varying Signals Using a Spiking Population Code /$rMichael S. Lewicki --$g13.$tSparse Codes and Spikes /$rBruno A. Olshausen --$g14.$tDistributed Synchrony: A Probabilistic Model of Neural Signaling /$rDana H. Ballard, Zuohua Zhang and Rajesh P. N. Rao --$g15.$tLearning to Use Spike Timing in a Restricted Boltzmann Machine /$rGeoffrey E. Hinton and Andrew D. Brown --$g16.$tPredictive Coding, Cortical Feedback, and Spike-Timing Dependent Plasticity /$rRajesh P. N. Rao and Terrence J. Sejnowski.
650 0 $aBrain$xMathematical models.$0http://id.loc.gov/authorities/subjects/sh85016343
650 0 $aNeurology$xStatistical methods.
650 12 $aBrain Mapping$xmethods.$0https://id.nlm.nih.gov/mesh/D001931Q000379
650 22 $aModels, Neurological.$0https://id.nlm.nih.gov/mesh/D008959
650 22 $aModels, Statistical.$0https://id.nlm.nih.gov/mesh/D015233
650 22 $aNeurons$xphysiology.$0https://id.nlm.nih.gov/mesh/D009474Q000502
650 22 $aVisual Perception$xphysiology.$0https://id.nlm.nih.gov/mesh/D014796Q000502
655 2 $aCongress.$0https://id.nlm.nih.gov/mesh/D016423
700 1 $aRao, Rajesh P. N.$0http://id.loc.gov/authorities/names/n2001128750
700 1 $aOlshausen, Bruno A.$0http://id.loc.gov/authorities/names/n2001128751
700 1 $aLewicki, Michael S.$0http://id.loc.gov/authorities/names/n2001128752
830 0 $aNeural information processing series.$0http://id.loc.gov/authorities/names/n00009051
852 00 $bsci$hQP376$i.P677 2002