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Home > Medical specialties, branches of medicine > Neurology and clinical neurophysiology > MATLAB for Neuroscientists: An Introduction to Scientific Computing in MATLAB
MATLAB for Neuroscientists: An Introduction to Scientific Computing in MATLAB

MATLAB for Neuroscientists: An Introduction to Scientific Computing in MATLAB


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About the Book

MATLAB for Neuroscientists: An Introduction to Scientific Computing in MATLAB 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 wide variety of computational problems can be addressed in a single programming environment. The idea is to empower advanced undergraduates and beginning graduate students by allowing them to design and implement their own analytical tools. As students advance in their research careers, they will have achieved the fluency required to understand and adapt more specialized tools as opposed to treating them as "black boxes". Virtually all computational approaches in the book are covered by using genuine experimental data that are either collected as part of the lab project or were collected in the labs of the authors, providing the casual student with the look and feel of real data. In some cases, published data from classical papers are used to illustrate important concepts, giving students a computational understanding of critically important research.

Table of Contents:
1. Introduction2. MATLAB Tutorial3. Visual Search and Pop Out4. Attention5. Psychophysics6. Signal Detection Theory7. Frequency Analysis Part I: Fourier Decomposition8. Frequency Analysis Part II: Nonstationary Signals and Spectrograms9. Wavelets10. Convolution11. Introduction to Phase Plane Analysis12. Exploring the Fitzhugh-Nagumo Model13. Neural Data Analysis: Encoding14. Principal Components Analysis15. Information Theory16. Neural Decoding Part I: Discrete Variables17. Neural Decoding Part II: Continuous Variables18. Functional Magnetic Imaging19. Voltage-Gated Ion Channels20. Models of a Single Neuron21. Models of the Retina22. Simplified Model of Spiking Neurons23. Fitzhugh-Nagumo Model: Traveling Waves24. Decision Theory25. Markov Models26. Modeling Spike Trains as a Poisson Process27. Synaptic Transmission28. Neural Networks Part I: Unsupervised Learning29. Neural Network Part II: Supervised Learning

About the Author :
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.

Review :
"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 coursein 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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Product Details
  • ISBN-13: 9780123745514
  • Publisher: Elsevier Science Publishing Co Inc
  • Publisher Imprint: Academic Press Inc
  • Height: 235 mm
  • No of Pages: 400
  • Weight: 925 gr
  • ISBN-10: 0123745519
  • Publisher Date: 06 Nov 2008
  • Binding: Hardback
  • Language: English
  • Sub Title: An Introduction to Scientific Computing in MATLAB
  • Width: 191 mm


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