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From Neuron to Cognition via Computational Neuroscience
(Computational Neuroscience Series)
by Michael A. Arbib, James J. Bonaiuto, Tomaso A. Poggio, Nicolas Brunel, John Rinzel, Jonathan Rubin, Stephanie Jones, Wulfram Gerstner, Carmen Canavier, Andrej Bicanski, Jeremie Knuesel, Nicolas Schweighofer, Stefano Fusi, Daniel Kersten, James Bednar, Christopher Williams, Ransom Winder, Tony J. Prescott, Nathan Vierling-Claassen, Jean-Marc Fellous, Michael E. Hasselmo, Auke Jan Ijspeert, Jean-Marie Cabelguen, Nathaniel D. Daw, Xiao-Jing Wang, Alan L. Yuille, Richard P. Cooper, Jacqueline A. Griego, Carlos R. Cortes, Malle A. Tagamets, Joseph Ayers, Frank Grasso, Owen Lewis, Edmund T. Rolls, Ziad M. Hafed, John Porrill, Paul Dean, Peter Ford Dominey, Pierre Enel, Mohamed A. Sherif, William Lytton, Angelo Cangelosi, Terrence J. Sejnowski
Hardcover, 808 Pages, Published 2016 by The Mit Press
ISBN-13: 978-0-262-03496-8, ISBN: 0-262-03496-4
"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 ..."
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