Matlab For Neuroscientists

Author: Pascal Wallisch
Editor: Academic Press
ISBN: 0123838371
File Size: 26,53 MB
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MATLAB for Neuroscientists serves as the only complete study manual and teaching resource for MATLAB, the globally accepted standard for scientific computing, in the neurosciences and psychology. This unique introduction can be used to learn the entire empirical and experimental process (including stimulus generation, experimental control, data collection, data analysis, modeling, and more), and the 2nd Edition continues to ensure that a wide variety of computational problems can be addressed in a single programming environment. This updated edition features additional material on the creation of visual stimuli, advanced psychophysics, analysis of LFP data, choice probabilities, synchrony, and advanced spectral analysis. Users at a variety of levels—advanced undergraduates, beginning graduate students, and researchers looking to modernize their skills—will learn to design and implement their own analytical tools, and gain the fluency required to meet the computational needs of neuroscience practitioners. The first complete volume on MATLAB focusing on neuroscience and psychology applications Problem-based approach with many examples from neuroscience and cognitive psychology using real data Illustrated in full color throughout Careful tutorial approach, by authors who are award-winning educators with strong teaching experience
MATLAB for Neuroscientists
Language: en
Pages: 570
Authors: Pascal Wallisch, Michael E. Lusignan, Marc D. Benayoun, Tanya I. Baker, Adam Seth Dickey, Nicholas G. Hatsopoulos
Categories: Computers
Type: BOOK - Published: 2014-01-09 - Publisher: Academic Press

MATLAB for Neuroscientists serves as the only complete study manual and teaching resource for MATLAB, the globally accepted standard for scientific computing, in the neurosciences and psychology. This unique introduction can be used to learn the entire empirical and experimental process (including stimulus generation, experimental control, data collection, data analysis,
MATLAB for Neuroscientists
Language: en
Pages: 400
Authors: Pascal Wallisch, Michael E. Lusignan, Marc D. Benayoun, Tanya I. Baker, Adam Seth Dickey, Nicholas G. Hatsopoulos
Categories: Medical
Type: BOOK - Published: 2010-07-28 - Publisher: Academic Press

This is the first comprehensive teaching resource and textbook for the teaching of MATLAB in the Neurosciences and in Psychology. MATLAB is unique in that it can be used to learn the entire empirical and experimental process, including stimulus generation, experimental control, data collection, data analysis and modeling. Thus a
MATLAB for Neuroscientists, 2nd Edition
Language: en
Pages: 570
Authors: Pascal Wallisch, Michael Lusignan, Marc Benayoun, Tanya Baker, Adam Dickey, Nicholas Hatsopoulos
Categories: Engineering
Type: BOOK - Published: 2014 - Publisher:

MATLAB for Neuroscientists serves as the only complete study manual and teaching resource for MATLAB, the globally accepted standard for scientific computing, in the neurosciences and psychology. This unique introduction can be used to learn the entire empirical and experimental process (including stimulus generation, experimental control, data collection, data analysis,
Network Neuroscience
Language: en
Pages: 482
Authors: Flavio Fröhlich
Categories: Medical
Type: BOOK - Published: 2016-09-20 - Publisher: Academic Press

Studying brain networks has become a truly interdisciplinary endeavor, attracting students and seasoned researchers alike from a wide variety of academic backgrounds. What has been lacking is an introductory textbook that brings together the different fields and provides a gentle introduction to the major concepts and findings in the emerging
Fundamentals of Computational Neuroscience
Language: en
Pages: 390
Authors: Thomas Trappenberg
Categories: Mathematics
Type: BOOK - Published: 2010 - Publisher: Oxford University Press

The new edition of Fundamentals of Computational Neuroscience build on the success and strengths of the first edition. Completely redesigned and revised, it introduces the theoretical foundations of neuroscience with a focus on the nature of information processing in the brain.