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Tutorial on Neural Systems Modeling, by Thomas J. Anastasio
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Neural systems models are elegant conceptual tools that provide satisfying insight into brain function. The goal of this new book is to make these tools accessible. It is written specifically for students in neuroscience, cognitive science, and related areas who want to learn about neural systems modeling but lack extensive background in mathematics and computer programming. The book opens with an introduction to computer programming. Each of twelve subsequent chapters presents a different modeling paradigm by describing its basic structure and showing how it can be applied in understanding brain function. The text guides the reader through short, simple computer programs printed in the book and available by download at the companion website that implement the paradigms and simulate real neural systems. Motivation for the simulations is provided in the form of a narrative that places specific aspects of neural system behavior in the context of more general brain function. The narrative integrates instruction for using the programs with description of neural system function, and readers can actively experience the fun and excitement of doing the simulations themselves. Designed as a hands-on tutorial for students, this book also serves instructors as both a teaching tool and a source of examples and exercises that provide convenient starting points for more in-depth exploration of topics of their own specific interest. The distinguishing pedagogical feature of this book is its computer programs, written in MATLAB, that help readers develop basic skill in the area of neural systems modeling. (All of the program files are available online via the book s companion website. Actual data on real neural systems is presented in the book for comparison with the results of the simulations. Also included are asides ( Math Boxes ) that present mathematical material that is relevant but not essential to running the programs. Exercises and references at the end of each chapter invite readers to explore each topic area on their own.
- Sales Rank: #1328245 in Books
- Brand: Anastasio, Thomas J.
- Published on: 2009-09-30
- Original language: English
- Number of items: 1
- Dimensions: 11.00" h x 8.50" w x 1.00" l, 4.11 pounds
- Binding: Hardcover
- 542 pages
- Used Book in Good Condition
Review
The enthusiasm expressed in the book is infectious. The writing is exceedingly clear and the concepts well expressed. --Jay McClelland, Stanford University
I am very impressed. Tom Anastasio has created something that has been needed for a long time a textbook that makes the relevant aspects of neural networks accessible to neuroscience students, whose mathematics preparation may be limited. I like the way he has interwoven the theory, the math, the computer simulations, and the neurobiology. --David Zipser, Emeritus, University of California, San Diego
I like the level and style of presentation a lot. The MATLAB link is a huge plus, and one that makes all the computations come to life. --Shihab Shamma, University of Maryland at College Park
I am very impressed. Tom Anastasio has created something that has been needed for a long time a textbook that makes the relevant aspects of neural networks accessible to neuroscience students, whose mathematics preparation may be limited. I like the way he has interwoven the theory, the math, the computer simulations, and the neurobiology. --David Zipser, Emeritus, University of California, San Diego
I like the level and style of presentation a lot. The MATLAB link is a huge plus, and one that makes all the computations come to life. --Shihab Shamma, University of Maryland at College Park
I am very impressed. Tom Anastasio has created something that has been needed for a long time a textbook that makes the relevant aspects of neural networks accessible to neuroscience students, whose mathematics preparation may be limited. I like the way he has interwoven the theory, the math, the computer simulations, and the neurobiology. --David Zipser, Emeritus, University of California, San Diego
I like the level and style of presentation a lot. The MATLAB link is a huge plus, and one that makes all the computations come to life. --Shihab Shamma, University of Maryland at College Park
I am very impressed. Tom Anastasio has created something that has been needed for a long time a textbook that makes the relevant aspects of neural networks accessible to neuroscience students, whose mathematics preparation may be limited. I like the way he has interwoven the theory, the math, the computer simulations, and the neurobiology. --David Zipser, Emeritus, University of California, San Diego
I like the level and style of presentation a lot. The MATLAB link is a huge plus, and one that makes all the computations come to life. --Shihab Shamma, University of Maryland at College Park
About the Author
THOMAS J. ANASTASI is Associate Professor at the University of Illinois at Urbana--Champaign, USA, affiliated with the Department of Molecular and Integrative Physiology and the Beckman Institute for Advanced Science and Technology. He earned a BSc. in Psychology at McGill University, and a Ph.D. in Physiology and Biophysics from the University of Texas at Galveston. A teacher of courses in computational neuroscience for nearly two decades, Dr. Anastasio has received the James E. Heath Award for Excellence in Teaching Physiology at the University of Illinois. His research focuses on the computational modeling of the nervous system in health and disease.
Most helpful customer reviews
11 of 11 people found the following review helpful.
great introductory tutorial in computational neuroscience.
By M. Kouh
We used this book for the upper-level undergraduate students in an interdisciplinary computational neuroscience course at a small liberal arts college. This is a fine, well-written book. One of the strengths of this book is that it starts with very basic programming in Matlab, so that the students without programming backgrounds can easily follow along. The programs in the book are well commented, and they progress slowly and logically in complexity. More advanced math topics are well separated out in Math Boxes. The examples of the neural systems are covered in enough (but not too much) details to be interesting and accessible to the readers. The book is definitely considerate of and sensitive to the wonderfully interdisciplinary nature of this field, so that the materials can be digested by people with different backgrounds. One can not contain all the topics in computational neuroscience in a single book, but this book does a great job of covering many important and interesting ideas/areas (Hebbian learning, Hopfield model, lateral inhibition, adaptation, supervised and unsupervised learning, etc.).
It works very well as an introductory textbook (or tutorial) of the field. The codes and the discussions are clear and simple (not intended as an advanced textbook), and to me, that's the strength and unique quality of this book.
By the way, most of the computer programs listed in the book work well with Octave (as well as Matlab).
2 of 3 people found the following review helpful.
great book for beginner
By K Tian
I studied this book with Dr. Anastasio himself last semester and learned a lot! This is a detailed and well-organized book that fits perfectly for beginners. It concentrates both on concepts and practices. Don't miss it if you're interested in computational neurosci!
0 of 1 people found the following review helpful.
Computational Neurobio book
By GZ
It explains concepts in fairly good depth for an introductory book, but the exercises from the first part seem a little slow. Quite literally a tutorial in the most basic sense.
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