From Neuron to Cognition Via Computational Neuroscience |
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| Contribution by:
| Arbib, Michael A.
Bonaiuto, James J.
Ayers, Joseph
Bednar, James A.
Bicanski, Andrej
Brunel, Nicolas
Cabelguen, Jean-Marie
Canavier, Carmen
Cangelosi, Angelo
Cooper, Richard P.
Cortes, Carlos R.
Daw, Nathaniel D.
Dean, Paul
Dominey, Peter Ford
Enel, Pierre
Fellous, Jean-Marc
Fusi, Stefano
Gerstner, Wulfram
Grasso, Frank
Griego, Jacqueline A.
Hafed, Ziad M.
Hasselmo, Michael E.
Ijspeert, Auke Jan
Jones, Stephanie
Kersten, Daniela
Knuesel, Jeremie
Lewis, Owen
Lytton, William
Poggio, Tomaso A.
Porrill, John
Prescott, Tony J.
Rinzel, John
Rolls, Edmund T.
Rubin, Jonathan
Schweighofer, Nicolas
Sherif, Mohamed A.
Tagamets, Malle A.
Verschure, Paul F. M. J.
Vierling-Claassen, Nathan
Wang, Xiao-Jing
Williams, Christopher
Winder, Ransom
Yuille, Alan L. |
| Editor:
| Arbib, Michael A.
Bonaiuto, James J.
Poggio, Tomaso A.
Sejnowski, Terrence J. |
| Series title: | Computational Neuroscience Ser. |
| ISBN: | 978-0-262-33526-3 |
| Publication Date: | Nov 2016 |
| Publisher: | MIT Press
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| Book Format: | Digital download and online |
| List Price: | USD $95.00 |
Book Description:
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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.
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.