MATLAB for Neuroscientists: An Introduction to Scientific Computing in MATLAB
Autor Pascal Wallisch, Michael E. Lusignan, Marc D. Benayoun, Tanya I. Baker, Adam Seth Dickey, Nicholas G. Hatsopoulosen Limba Engleză Hardback – 26 noi 2013
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
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Specificații
ISBN-10: 0123838363
Pagini: 570
Ilustrații: Illustrations (black and white, and colour)
Dimensiuni: 191 x 235 x 30 mm
Greutate: 1.36 kg
Ediția:2. Auflage.
Editura: ELSEVIER SCIENCE
Public țintă
Undergraduate and graduate students in systems, cognitive, and behavioral neuroscience, cognitive psychology, and related fields, as well as researchers in these fields who use Matlab.Cuprins
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
Recenzii
“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, Tübingen, 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
Descriere
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