Show Summary Details
- Title Pages
- Series Foreword
- Preface
- 1 A Probability Primer
- 2 Spike Coding
- 3 Likelihood-Based Approaches to Modeling the Neural Code
- 4 Combining Order Statistics with Bayes Theorem for Millisecond-by-Millisecond Decoding of Spike Trains
- 5 Bayesian Treatments of Neuroimaging Data
- 6 Population Codes
- 7 Computing with Population Codes
- 8 Efficient Coding of Visual Scenes by Grouping and Segmentation
- 9 Bayesian Models of Sensory Cue Integration
- 10 The Speed and Accuracy of a Simple Perceptual Decision: A Mathematical Primer
- 11 Neural Models of Bayesian Belief Propagation
- 12 Optimal Control Theory
- 13 Bayesian Statistics and Utility Functions in Sensorimotor Control
- Contributors
- Index
Title Pages
Title Pages
- Source:
- Bayesian Brain
- Publisher:
- The MIT Press
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- Title Pages
- Series Foreword
- Preface
- 1 A Probability Primer
- 2 Spike Coding
- 3 Likelihood-Based Approaches to Modeling the Neural Code
- 4 Combining Order Statistics with Bayes Theorem for Millisecond-by-Millisecond Decoding of Spike Trains
- 5 Bayesian Treatments of Neuroimaging Data
- 6 Population Codes
- 7 Computing with Population Codes
- 8 Efficient Coding of Visual Scenes by Grouping and Segmentation
- 9 Bayesian Models of Sensory Cue Integration
- 10 The Speed and Accuracy of a Simple Perceptual Decision: A Mathematical Primer
- 11 Neural Models of Bayesian Belief Propagation
- 12 Optimal Control Theory
- 13 Bayesian Statistics and Utility Functions in Sensorimotor Control
- Contributors
- Index
