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ocn191730642 |
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OCoLC |
| 005 |
20240808213014.0 |
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m o d |
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cr cnu---unuuu |
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080131s2007 maua ob 001 0 eng d |
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|q (electronic bk.)
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| 037 |
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|a 1535
|b MIT Press
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| 037 |
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|a 9780262294188
|b MIT Press
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| 050 |
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4 |
|a QP376
|b .B39 2007eb
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| 072 |
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7 |
|a MED
|x 057000
|2 bisacsh
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| 072 |
|
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|a PSY
|x 020000
|2 bisacsh
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| 049 |
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|a HCDD
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| 245 |
0 |
0 |
|a Bayesian brain :
|b probabilistic approaches to neural coding /
|c Kenji Doya [and others].
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| 260 |
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|a Cambridge, Mass. :
|b MIT Press,
|c ©2007.
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| 300 |
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|a 1 online resource (xiii, 326 pages) :
|b illustrations
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 347 |
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|a text file
|2 rdaft
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| 490 |
1 |
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|a Computational neuroscience
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| 504 |
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|a Includes bibliographical references and index.
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| 505 |
0 |
0 |
|t A probability primer /
|r Kenji Doya, Shin Ishii --
|t Spike coding /
|r Adrienne Fairhall --
|t Likelihood-based approaches to modeling the neural code /
|r Jonathan Pillow --
|t Combining order statistics with Bayes theorem for millisecond-by-millisecond decoding of spike trains /
|r Barry J. Richmond, Matthew C. Wiener --
|t Bayesian treatments of neuroimaging data /
|r Will Penny, Karl Friston --
|t Population codes /
|r Alexandre Pouget, Richard S. Zemel --
|t Computing with population codes /
|r Peter Latham, Alexandre Pouget --
|t Efficient coding of visual scenes by grouping and segmentation /
|r Tai Sing Lee, Alan L. Yuille --
|t Bayesian models of sensory cue integration /
|r David C. Knill --
|t The speed and accuracy of a simple perceptual decision : a mathematical primer /
|r Michael N. Shadlen [and others] --
|t Neural models of Bayesian belief propagation /
|r Rajesh P.N. Rao --
|t Optimal control theory /
|r Emanuel Todorov --
|t Bayesian statistics and utility functions in sensorimotor control /
|r Konrad P. Körding, Daniel M. Wolpert.
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| 588 |
0 |
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|a Print version record.
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| 520 |
8 |
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|a Experimental and theoretical neuroscientists use Bayesian approaches to analyse the brain mechanisms of perception decision-making, and motor control.
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| 546 |
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|a English.
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| 650 |
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0 |
|a Brain.
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| 650 |
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0 |
|a Neurons.
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| 650 |
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0 |
|a Bayesian statistical decision theory.
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| 650 |
|
7 |
|a brains.
|2 aat
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| 650 |
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7 |
|a MEDICAL
|x Neuroscience.
|2 bisacsh
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| 650 |
|
7 |
|a PSYCHOLOGY
|x Neuropsychology.
|2 bisacsh
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| 650 |
|
7 |
|a Bayesian statistical decision theory
|2 fast
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| 650 |
|
7 |
|a Brain
|2 fast
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| 650 |
|
7 |
|a Neurons
|2 fast
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| 650 |
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7 |
|a Bayes-Verfahren
|2 gnd
|
| 650 |
|
7 |
|a Neuropsychologie
|2 gnd
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| 655 |
|
7 |
|a Aufsatzsammlung.
|2 swd
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| 700 |
1 |
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|a Doya, Kenji.
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| 758 |
|
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|i has work:
|a Bayesian brain (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCG8Q3q7rvb34p9j3qRM8bq
|4 https://id.oclc.org/worldcat/ontology/hasWork
|
| 776 |
0 |
8 |
|i Print version:
|t Bayesian brain.
|d Cambridge, Mass. : MIT Press, ©2007
|z 9780262042383
|z 026204238X
|w (DLC) 2006049827
|w (OCoLC)70292171
|
| 830 |
|
0 |
|a Computational neuroscience.
|
| 856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://doi.org/10.7551/mitpress/9780262042383.001.0001?locatt=mode:legacy
|y Click for online access
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| 903 |
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|a MIT-D2O-Backfile-Complete
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| 994 |
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|a 92
|b HCD
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