MATLAB for Neuroscientists: An Introduction to Scientific Computing in MATLAB

Author:   Pascal Wallisch (New York University, NY, USA) ,  Michael E. Lusignan (The University of Chicago, IL, USA) ,  Marc D. Benayoun (The University of Chicago, IL, USA) ,  Tanya I. Baker (The Salk Institute for Biological Studies, La Jolla, CA, USA)
Publisher:   Elsevier Science Publishing Co Inc
Edition:   2nd edition
ISBN:  

9780123838360


Pages:   570
Publication Date:   27 November 2013
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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MATLAB for Neuroscientists: An Introduction to Scientific Computing in MATLAB


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Overview

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.

Full Product Details

Author:   Pascal Wallisch (New York University, NY, USA) ,  Michael E. Lusignan (The University of Chicago, IL, USA) ,  Marc D. Benayoun (The University of Chicago, IL, USA) ,  Tanya I. Baker (The Salk Institute for Biological Studies, La Jolla, CA, USA)
Publisher:   Elsevier Science Publishing Co Inc
Imprint:   Academic Press Inc
Edition:   2nd edition
Dimensions:   Width: 19.10cm , Height: 3.00cm , Length: 23.50cm
Weight:   1.360kg
ISBN:  

9780123838360


ISBN 10:   0123838363
Pages:   570
Publication Date:   27 November 2013
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Preface Part I: Fundamentals Introduction Tutorial Part II: Data Collection with Matlab Visual Search and Pop Out Attention Psychophysics Signal Detection Theory Part III: Data Analysis with Matlab Frequency Analysis Part I Frequency Analysis Part II: Non-stationary Signals and Spectrograms Wavelets Convolution Introduction to Phase Plane Analysis Exploring the Fitzhugh-Nagumo Model Neural Data Analysis: Encoding Principal Components Analysis Information Theory Neural Decoding: Discrete variables Neural Decoding: Continuous variables Functional Magnetic Imaging Part IV: Data Modeling with Matlab Voltage-Gated Ion Channels Models of a Single Neuron Models of the Retina Simplified Models of Spiking Neurons Fitzhugh-Nagumo Model: Traveling Waves Decision Theory Markov Model Modeling Spike Trains as a Poisson Process Synaptic Transmission Neural Networks: Unsupervised learning Neural Network: Supervised Learning Appendices Appendix 1: Thinking in Matlab Appendix 2: Linear Algebra Review

Reviews

...a handy resource for instructors of neuroscience, particularly those interested in more intense data analysis and/or neural modeling. 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, T bingen, 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


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, T bingen, 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


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


Author Information

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.

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