Bayesian Brain: Probabilistic Approaches to Neural Coding (Computational Neuroscience) (Re Upload)

Description

A Bayesian approach can contribute to an understanding of the brain on multiple levels, by giving normative predictions about how an ideal sensory system should combine prior knowledge and observation, by providing mechanistic interpretation of the dynamic functioning of the brain circuit, and by suggesting optimal ways of deciphering experimental data. Bayesian Brain brings together contributions from both experimental and theoretical neuroscientists that examine the brain mechanisms of perception, decision making, and motor control according to the concepts of Bayesian estimation.

After an overview of the mathematical concepts, including Bayes' theorem, that are basic to understanding the approaches discussed, contributors discuss how Bayesian concepts can be used for interpretation of such neurobiological data as neural spikes and functional brain imaging. Next, contributors examine the modeling of sensory processing, including the neural coding of information about the outside world. Finally, contributors explore dynamic processes for proper behaviors, including the mathematics of the speed and accuracy of perceptual decisions and neural models of belief propagation.

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1. Ebooks list page : 3145
2. Bayesian Brain: Probabilistic Approaches to Neural Coding
3. Probabilistic Models of the Brain: Perception and Neural Function (Neural Information Processing)
4. Probabilistic Models of the Brain: Perception and Neural Function (Neural Information Processing)
5. Probabilistic Models of the Brain: Perception and Neural Function (Neural Information Processing)
6. Rajesh P. N. Rao, Bruno A. Olshausen - Probabilistic Models of the Brain: Perception and Neural Function (Repost)
7. Unsupervised Learning: Foundations of Neural Computation (Computational Neuroscience)
8. Neural Plasticity and Memory: From Genes to Brain Imaging (Frontiers in Neuroscience)
9. Neural Control of Space Coding and Action Production (Progress in Brain Research) by C. Prablanc
10. Memory and the Computational Brain: Why Cognitive Science will Transform Neuroscience
11. Computational Explorations in Cognitive Neuroscience: Understanding the Mind by Simulating the Brain
12. Computational Explorations in Cognitive Neuroscience: Understanding the Mind by Simulating the Brain
13. Computational Neuroscience: Theoretical Insights into Brain Function by Paul Cisek
14. Bayesian Core: A Practical Approach to Computational Bayesian Statistics (Springer Texts in Statisti
15. Bayesian Networks and Probabilistic Inference in Forensic Science
16. Bayesian Networks and Probabilistic Inference in Forensic Science