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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Probabilistic Models of the Brain: Perception and Neural Function

Probabilistic Models of the Brain: Perception and Neural Function

Rao, Rajesh P. N.
Olshausen, Bruno A.
Lewicki, Michael S.

Paperback

Series: Neural Information Processing

Medical Reference

ISBN10: 0262526271
ISBN13: 9780262526272
Publisher: Bradford Book
Published: Mar 29 2002
Pages: 334
Weight: 1.47
Height: 0.70 Width: 8.00 Depth: 10.00
Language: English
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.

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