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From Neuron to Cognition via Computational Neuroscience (Computational Neuroscience Series) | Hardcover

by Michael A. Arbib (Editor), Michael A. Arbib (Editor), James J. Bonaiuto (Editor), James J. Bonaiuto (Editor), Terrence J. Sejnowski (Editor), Tomaso A. Poggio (Editor), Tomaso A. Poggio (Editor), Nicolas Brunel (Editor), John Rinzel (Editor), Jonathan Rubin (Editor), Nathan Vierling-Claassen (Editor), Stephanie Jones (Editor), Wulfram Gerstner (Editor), Jean-Marc Fellous (Editor), Carmen Canavier (Editor), Michael E. Hasselmo (Editor), Auke Jan Ijspeert (Editor), Andrej Bicanski (Editor), Jeremie Knuesel (Editor), Jean-Marie Cabelguen (Editor), Nicolas Schweighofer (Editor), Nathaniel D. Daw (Editor), Stefano Fusi (Editor), Xiao-Jing Wang (Editor), Alan L. Yuille (Editor), Daniel Kersten (Editor), James Bednar (Editor), Christopher Williams (Editor), Richard P. Cooper (Editor), Jacqueline A. Griego (Editor), Carlos R. Cortes (Editor), Ransom Winder (Editor), Malle A Tagamets (Editor), Tony J. Prescott (Editor), Joseph Ayers (Editor), Frank Grasso (Editor), Paul F.M.J. Verschure (Editor), Owen Lewis (Editor), Edmund T Rolls (Editor), Ziad M. Hafed (Editor), John Porrill (Editor), Paul Dean (Editor), Peter Ford Dominey (Editor), Pierre Enel (Editor), Mohamed A Sherif (Editor), William Lytton (Editor), Angelo Cangelosi (Editor)


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Binding:  Hardcover
Publisher:  The MIT Press
Page Count:  808 Pages
Publication Date:  November 11, 2016
Sales Rank:  1667012th



EDITORIAL REVIEWS


Product Description
A comprehensive, integrated, and accessible textbook presenting core neuroscientific topics from a computational perspective, tracing a path from cells and circuits to behavior and cognition.This textbook presents a wide range of subjects in neuroscience from a computational perspective. It offers a comprehensive, integrated introduction to core topics, using computational tools to trace a path from neurons and circuits to behavior and cognition. Moreover, the chapters show how computational neuroscience―methods for modeling the causal interactions underlying neural systems―complements empirical research in advancing the understanding of brain and behavior. The chapters―all by leaders in the field, and carefully integrated by the editors―cover such subjects as action and motor control; neuroplasticity, neuromodulation, and reinforcement learning; vision; and language―the core of human cognition.The book can be used for advanced undergraduate or graduate level courses. It presents all necessary background in neuroscience beyond basic facts about neurons and synapses and general ideas about the structure and function of the human brain. Students should be familiar with differential equations and probability theory, and be able to pick up the basics of programming in MATLAB and/or Python. Slides, exercises, and other ancillary materials are freely available online, and many of the models described in the chapters are documented in the brain operation database, BODB (which is also described in a book chapter).ContributorsMichael A. Arbib, Joseph Ayers, James Bednar, Andrej Bicanski, James J. Bonaiuto, Nicolas Brunel, Jean-Marie Cabelguen, Carmen Canavier, Angelo Cangelosi, Richard P. Cooper, Carlos R. Cortes, Nathaniel Daw, Paul Dean, Peter Ford Dominey, Pierre Enel, Jean-Marc Fellous, Stefano Fusi, Wulfram Gerstner, Frank Grasso, Jacqueline A. Griego, Ziad M. Hafed, Michael E. Hasselmo, Auke Ijspeert, Stephanie Jones, Daniel Kersten, Jeremie Knuesel, Owen Lewis, William W. Lytton, Tomaso Poggio, John Porrill, Tony J. Prescott, John Rinzel, Edmund Rolls, Jonathan Rubin, Nicolas Schweighofer, Mohamed A. Sherif, Malle A. Tagamets, Paul F. M. J. Verschure, Nathan Vierling-Claasen, Xiao-Jing Wang, Christopher Williams, Ransom Winder, Alan L. Yuille

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