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
