Probabilistic Models of the Brain

Released on by Rajesh P.N. Rao
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  • Probabilistic Models of the Brain Book Detail

  • Author : Rajesh P.N. Rao
  • Release Date : 2002-03-29
  • Publisher : MIT Press
  • Genre : Medical
  • Pages : 348
  • ISBN 13 : 9780262264327
  • File Size : 85,85 MB
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Probabilistic Models of the Brain by Rajesh P.N. Rao PDF Summary

Book Description: A survey of probabilistic approaches to modeling and understanding brain function. Neurophysiological, neuroanatomical, and brain imaging studies have helped to shed light on how the brain transforms raw sensory information into a form that is useful for goal-directed behavior. A fundamental question that is seldom addressed by these studies, however, is why the brain uses the types of representations it does and what evolutionary advantage, if any, these representations confer. It is difficult to address such questions directly via animal experiments. A promising alternative is to use probabilistic principles such as maximum likelihood and Bayesian inference to derive models of brain function. This book surveys some of the current probabilistic approaches to modeling and understanding brain function. Although most of the examples focus on vision, many of the models and techniques are applicable to other modalities as well. The book presents top-down computational models as well as bottom-up neurally motivated models of brain function. The topics covered include Bayesian and information-theoretic models of perception, probabilistic theories of neural coding and spike timing, computational models of lateral and cortico-cortical feedback connections, and the development of receptive field properties from natural signals.

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Probabilistic Models of the Brain

Probabilistic Models of the Brain

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A survey of probabilistic approaches to modeling and understanding brain function. Neurophysiological, neuroanatomical, and brain imaging studies have helped to

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Experimental and theoretical neuroscientists use Bayesian approaches to analyze the brain mechanisms of perception, decision-making, and motor control.

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A comprehensive Introduction to the world of brain and behavior computational models This book provides a broad collection of articles covering different aspect

Probabilistic Models

Probabilistic Models

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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Pages: 26. Chapters: Bayesian br