

MATLAB for Neuroscientists - Baker, Tanya I
- Format: Relié
- 570.0 pages Voir le descriptif
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Présentation Matlab For Neuroscientists Format Relié
- Livre Beaux artsAuteur(s) : Baker, Tanya I - Benayoun, Marc D - Dickey, Adam Seth - Hatsopoulos, Nicholas G - Lusignan, Michael E - Wallisch, PascalEditeur : Elsevier ScienceLangue : AnglaisParution :...
Résumé :
2nd edition of the complete study resource for MATLAB, the globally accepted standard for scientific computing, in the fields of neuroscience and psychology.
Biographie:
Pascal Wallisch received his PhD from the University of Chicago, did postdoctoral work at the Center for Neural Science at New York University, and currently serves as a clinical assistant professor of Psychology at New York University. His research interests are at the intersection of Psychology and Neuroscience, specifically Cognitive and Computational Neuroscience. His current work focuses on motion perception, autism and the appraisal of film.
Critique:
The book is clear, cogent, and systematic. It provides much more than the essential nuts-and-bolts-it also leads the reader to learn to think about the empirical enterprise writ large.This book should be given a privileged spot on the bookshelf of every teacher, student, and researcher in the behavioral and cognitive sciences. -Stephen M. Kosslyn, John Lindsley Professor of Psychology, Dean of Social Science, Harvard University, Cambridge, MA, USA This is an excellent book that should be on the desk of any neuroscientist or psychologist who wants to analyze and understand his or her own data by using MATLAB.Several books with MATLAB toolboxes exist; I find this one special both for its clarity and its focus on problems related to neuroscience and cognitive psychology. -Nikos Logothetis, Director, Max Planck Institute for Biological Cybernetics, Tubingen, Germany MATLAB for Neuroscientists provides a unique and relatively comprehensive introduction to the MATLAB programming language in the context of brain sciences.The book would work well as a supplementary source for an introductory course in computational analysis and modeling in visual neuroscience, for graduate students or advanced undergraduates. -Eero P. Simoncelli, Investigator, Howard Hughes Medical Institute; Professor,
Neural Science, Mathematics, and Psychology, New York University, New York, USA
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