Probabilistic Models of the Brain: Perception and Neural Function

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

(MIT Press, 2002)

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ISBN 0-262-18224-6 

MIT Press Web Page

Review by Josh McDermott (Nature Neurosci. 5(9), 829, 2002)



Part I: Theories of Perception and Learning

Chapter 1: Bayesian Modelling of Visual Perception, by P. Mamassian, M. Landy and L. Maloney

Chapter 2:  Vision, Psychophysics, and Bayes, by P. Schrater and D. Kersten

Chapter 3: Visual Cue Integration for Depth Perception, by R. Jacobs

Chapter 4: Velocity Likelihoods in Biological and Machine Vision, by Y. Weiss and D. Fleet

Chapter 5: Learning Motion Analysis, by W. Freeman, J. Haddon and E. Pasztor

Chapter 6: Information Theoretic Approach to Neural Coding and Parameter Estimation: A Perspective, by J.-P. Nadal

Chapter 7: From Generic to Specific: An Information Theoretic Perspective on the Value of High-Level Information, by A. Yuille and J. Coughlan

Chapter 8: Sparse Correlation Kernel Reconstruction and Superresolution, by C. Papageorgiou, F. Girosi and T. Poggio

Part II: Neural Models and Implementations

Chapter 9: Natural Image Statistics for Cortical Orientation Map Development, by C. Piepenbrock

Chapter 10: Natural Image Statistics and Divisive Normalization: Modeling Nonlinearities and Adaptation in Cortical Neurons, by M. J. Wainwright, O. Schwartz, and E. P. Simoncelli

Chapter 11: A Probabilistic Network Model of Population Responses, by R. S. Zemel and J. Pillow

Chapter 12: Efficient Coding of Time-Varying Signals Using a Spiking Population Code, by M. Lewicki

Chapter 13: Sparse Codes and Spikes, by B. Olshausen

Chapter 14: Distributed Synchrony: A Probabilistic Model of Neural Signaling, by D. Ballard, Z. Zhang, and R. Rao

Chapter 15: Learning to use Spike Timing in a Restricted Boltzmann Machine, by G. E. Hinton and A. D. Brown

Chapter 16: Predictive Coding, Cortical Feedback, and Spike-Timing Dependent Plasticity, by R. Rao and T. Sejnowski

Rajesh P. N. Rao
Dept. of Computer Science and Engineering
University of Washington
Seattle, WA 98195-2350
FAX: 206-543-2969
e-mail: rao[at]cs[dot]washington[dot]edu