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Tutorial on neural systems modeling

Author: Thomas J Anastasio
Publisher: Sunderland, Mass. : Sinauer Associates, ©2010.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:

For students of neuroscience and cognitive science who wish to explore the functioning of the brain further, but lack an extensive background in computer programming or maths, this new book makes  Read more...

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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Thomas J Anastasio
ISBN: 9780878933396 0878933395
OCLC Number: 312445346
Description: xvii, 553 pages : illustrations ; 29 cm
Contents: Vectors, matrices, and basic neural computations --
Recurrent connections and simple neural circuits --
Forward and recurrent lateral inhibition --
Covariation learning and auto-associative memory --
Unsupervised learning and distributed representations --
Supervised learning and non-uniform representations --
Reinforcement learning and associative conditioning --
Information transmission and unsupervised learning --
Probability estimation and supervised learning --
Time series learning and nonlinear signal processing --
Temporal-difference learning and reward prediction --
Predictor-corrector models and probabilistic inference --
Simulated evolution and the genetic algorithm --
Future directions in neural systems modeling.
Responsibility: Thomas J. Anastasio.

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The writing is extremely clear, and the author conveys pretty advanced ideas very well. * Maxim Raginsky, Duke University * The author has done a great job of bringing a variety of models under one Read more...

 
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