Visual population codes toward a common multivariate framework for cell recording and functional imaging / edited by Nikolaus Kriegeskorte and Gabriel Kreiman.

SeriesComputational neuroscience
Computational neuroscience. ^A236345
Contents Grandmother cells and distributed representations / Simon J. Thorpe -- Strategies for finding neural codes / Sheila Nirenberg -- Multineuron representations of visual attention / Jasper Poort, Arezoo Pooresmaeili, and Pieter R. Roelfsema -- Decoding early visual representations from fMRI ensemble responses / Yukiyasu Kamitani -- Understanding visual representation by developing receptive-field models / Kendrick N. Kay -- System identification, encoding models, and decoding models: a powerful new approach to fMRI research / Jack L. Gallant, Shinji Nishimoto, Thomas Naselaris, and Michael C.K. Wu -- Population coding of object contour shape in V4 and posterior inferotemporal cortex / Anitha Pasupathy and Scott I. Brincat --
Contents Measuring representational distances: the Spike-train metrics approach / Conor Houghton and Jonathan D. Victor -- The role of categories, features, and learning for the representation of visual object similarity in the human brain / Hans P. Op de Beeck -- Ultrafast decoding from cells in the Macaque monkey / Chou P. Hung and James J. DiCarlo -- Representational similarity analysis of object population codes in humans, monkeys, and models / Nikolaus Kriegeskorte and Marieke Mur -- Three virtues of similarity-based multivariate pattern analysis: an example from the human object vision pathway / Andrew C. Connolly, M. Ida Gobbini, and James V. Haxby -- Investigating high-level visual representations: objects, bodies, and scenes / Dwight J. Kravitz, Annie W-Y. Chan and Chris I. Baker -- To err is human: correlating fMRI decoding and behavioral errors to probe the neural representation of natural scene categories / Dirk B. Walther, Diane M. Beck and Li Fei-Fei -- Decoding visual consciousness from human brain signals / John Dylan Haynes -- Probabilistic codes and hierarchical inference in the brain / Karl Friston --
Contents Introduction to the anatomy and function of visual cortex / Kendra S. Burbank and Gabriel Kreiman -- Introduction to statistical learning and pattern classification / Jed Singer and Gabriel Kreiman -- Tutorial on pattern classification in cell recording / Ethan Meyers and Gabriel Kreiman -- Tutorial on pattern classification in functional imaging / Marieke Mur and Nikolaus Kriegeskorte -- Information-theoretic approaches to pattern analysis / Stefano Panzeri and Robin A.A. Ince -- Local field potentials, BOLD, and spiking activity: relationships and physiological mechanism / Philip Berens, Nikos K. Logothetis and Andreas S. Tolias.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2011007839
ISBN9780262016247 (hardcover : alk. paper)
ISBN0262016249 (hardcover : alk. paper)

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