Bayesian Brain - Probabilistic Approaches to Neural Coding (Computational Neuroscience) by Kenji Doya (026204238X)

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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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	Study Probabilistic Models of the Brain: Perception and Neural Function (Neural Information Processing) Probabilistic Models of the Brain: Perception and Neural Function (Neural Information Processing)The MIT Press (2002-02-15) \| ISBN: 0262182246 \| 334 Pages \| 3.2 MB \| PDFNeurophysiological, neuroanatomical, and brain imaging studies have hel ...
	Programming Bayesian Brain: Probabilistic Approaches to Neural Coding Kenji Doya, Shin Ishii, Alexandre Pouget, Rajesh P. N. Rao “Bayesian Brain: Probabilistic Approaches to Neural Coding" The MIT Press \| 2007-01-01 \| ISBN: 026204238X \| 340 pages \| DJVU \| 3,71 MB A Bayesian approach can contribute to an ...
	Science/Engineering Rajesh P. N. Rao, Bruno A. Olshausen - Probabilistic Models of the Brain: Perception and Neural Function (Repost) Rajesh P. N. Rao, Bruno A. Olshausen - Probabilistic Models of the Brain:Perception and Neural FunctionThe MIT Press \| 2002 \| ISBN: 0262182246 \| Pages: 334 \| PDF \| 6.24 MBNeurophysiological, neuroanatomical, and brain imaging studies have h ...
	Science/Engineering Bayesian Brain: Probabilistic Approaches to Neural Coding (Computational Neuroscience) (Re Upload) Bayesian Brain: Probabilistic Approaches to Neural Coding (Computational Neuroscience) by: Kenji Doya, Shin Ishii, Alexandre Pouget, Rajesh P. N. Rao (Re Upload)Publisher: The MIT Press \| 2007-01-01 \| ISBN: 026204238X \| Pages: 340 \| PDF \| 5 ...
	Technical Computational Neuroscience: Theoretical Insights into Brain Function, Volume 165 (Progress in Brain Research) ISBN: 0444528237 Publisher: Elsevier Science Author: Description:Computational neuroscience is a relatively new but rapidly expanding area of research which is becoming increasingly influential in shaping the way scientists think about the ...
	Science/Engineering Neural Stem Cells for Brain and Spinal Cord Repair (Contemporary Neuroscience) (Contemporary Neuroscience) Author: Publisher: Humana Press (2002)Binding: Hardcover, 456 pagespricer: $150.00ISBN-10: 1588290034editorialreviewsActive neuroscientists survey NSCs as potential tools for central nervous system and spinal cord repair by explaining their ...

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