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001387568 050_4 $$aQP475.V586 2012
001387568 08204 $$a573.8/819
001387568 24500 $$aVisual population codes :$$btoward a common multivariate framework for cell recording and functional imaging.
001387568 2463_ $$aComputational neuroscience
001387568 264_1 $$a[Place of publication not identified]$$bMIT Press$$c2012.
001387568 264_4 $$c©2012
001387568 300__ $$a1 online resource.
001387568 336__ $$atext$$btxt$$2rdacontent
001387568 337__ $$acomputer$$bc$$2rdamedia
001387568 338__ $$aonline resource$$bcr$$2rdacarrier
001387568 4901_ $$aComputational neuroscience
001387568 506__ $$aAccess limited to authorized users.
001387568 520__ $$aHow visual content is represented in neuronal population codes and how to analyze such codes with multivariate techniques. Vision is a massively parallel computational process, in which the retinal image is transformed over a sequence of stages so as to emphasize behaviorally relevant information (such as object category and identity) and deemphasize other information (such as viewpoint and lighting). The processes behind vision operate by concurrent computation and message passing among neurons within a visual area and between different areas. The theoretical concept of "population code" encapsulates the idea that visual content is represented at each stage by the pattern of activity across the local population of neurons. Understanding visual population codes ultimately requires multichannel measurement and multivariate analysis of activity patterns. Over the past decade, the multivariate approach has gained significant momentum in vision research. Functional imaging and cell recording measure brain activity in fundamentally different ways, but they now use similar theoretical concepts and mathematical tools in their modeling and analyses. With a focus on the ventral processing stream thought to underlie object recognition, this book presents recent advances in our understanding of visual population codes, novel multivariate pattern-information analysis techniques, and the beginnings of a unified perspective for cell recording and functional imaging. It serves as an introduction, overview, and reference for scientists and students across disciplines who are interested in human and primate vision and, more generally, in understanding how the brain represents and processes information.
001387568 588__ $$aOCLC-licensed vendor bibliographic record.
001387568 650_0 $$aVision$$xPhysiological aspects.
001387568 650_0 $$aBrain$$xLocalization of functions.
001387568 650_0 $$aNeural transmission$$xPhysiology.
001387568 650_0 $$aPrimates.
001387568 650_0 $$aComparative neurobiology.
001387568 650_0 $$aMultivariate analysis.
001387568 653__ $$aNEUROSCIENCE/General
001387568 653__ $$aNEUROSCIENCE/Visual Neuroscience
001387568 655_0 $$aElectronic books
001387568 7001_ $$aKriegeskorte, Nikolaus,$$eContributor.
001387568 7001_ $$aKreiman, Gabriel,$$eContributor.
001387568 852__ $$bebk
001387568 85640 $$3MIT Press$$uhttps://univsouthin.idm.oclc.org/login?url=https://doi.org/10.7551/mitpress/8404.001.0001?locatt=mode:legacy$$zOnline Access through The MIT Press Direct
001387568 85642 $$3OCLC metadata license agreement$$uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
001387568 909CO $$ooai:library.usi.edu:1387568$$pGLOBAL_SET
001387568 980__ $$aBIB
001387568 980__ $$aEBOOK
001387568 982__ $$aEbook
001387568 983__ $$aOnline