Skip to content

Booksellers & Trade Customers: Sign up for online bulk buying at trade.atlanticbooks.com for wholesale discounts

Booksellers: Create Account on our B2B Portal for wholesale discounts

Probabilistic Models of the Brain: Perception and Neural Function

by Rajesh P. N. Rao , Bruno A. Olshausen , Michael S. Lewicki
Save 17% Save 17%
Current price ₹4,576.00
Original price ₹5,492.00
Original price ₹5,492.00
Original price ₹5,492.00
(-17%)
₹4,576.00
Current price ₹4,576.00

Imported Edition - Ships in 18-21 Days

Free Shipping in India on orders above Rs. 500

Request Bulk Quantity Quote
+91
Book cover type: Paperback
  • ISBN13: 9780262526272
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Bradford Book
  • Publisher Imprint: Bradford Book
  • Publication Date:
  • Pages: 334
  • Original Price: GBP 31.49
  • Language: English
  • Edition: N/A
  • Item Weight: 667 grams
  • BISAC Subject(s): Neuroscience

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.

Rajesh P. N. Rao is Associate Professor in the Department of Computer Science and Engineering, a Faculty Member of the Neurobiology and Behavior Program at the University of Washington.

Bruno A. Olshausen is Associate Professor in the Department of Psychology and the Center for Neuroscience at the University of California, Davis.

Michael S. Lewicki is Assistant Professor in the Department of Computer Science and the Center for the Neural Basis of Cognition at Carnegie Mellon University.

Trusted for over 49 years

Family Owned Company

Secure Payment

All Major Credit Cards/Debit Cards/UPI & More Accepted

New & Authentic Products

India's Largest Distributor

Need Support?

Whatsapp Us