Explaining the especially pink elephant.

作者信息

Pillow Jonathan W

机构信息

Princeton Neuroscience Institute, Department of Psychology and Center for Statistics and Machine Learning at Princeton University, Princeton, New Jersey, USA.

出版信息

Nat Neurosci. 2015 Oct;18(10):1435-6. doi: 10.1038/nn.4122.

DOI:10.1038/nn.4122

PMID:26404720

Abstract

摘要

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本文引用的文献

A Bayesian observer model constrained by efficient coding can explain 'anti-Bayesian' percepts.

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Efficient sensory encoding and Bayesian inference with heterogeneous neural populations.

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Reassessing optimal neural population codes with neurometric functions.

Proc Natl Acad Sci U S A. 2011 Mar 15;108(11):4423-8. doi: 10.1073/pnas.1015904108. Epub 2011 Feb 28.

Bayesian integration in sensorimotor learning.

Nature. 2004 Jan 15;427(6971):244-7. doi: 10.1038/nature02169.

Some informational aspects of visual perception.

Psychol Rev. 1954 May;61(3):183-93. doi: 10.1037/h0054663.

Optimal short-term population coding: when Fisher information fails.

Neural Comput. 2002 Oct;14(10):2317-51. doi: 10.1162/08997660260293247.

Motion illusions as optimal percepts.

Nat Neurosci. 2002 Jun;5(6):598-604. doi: 10.1038/nn0602-858.

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Nature. 2002 Jan 24;415(6870):429-33. doi: 10.1038/415429a.

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Mutual information, Fisher information, and population coding.

Neural Comput. 1998 Oct 1;10(7):1731-57. doi: 10.1162/089976698300017115.

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相似文献

Explaining the especially pink elephant.

Nat Neurosci. 2015 Oct;18(10):1435-6. doi: 10.1038/nn.4122.

A Bayesian observer model constrained by efficient coding can explain 'anti-Bayesian' percepts.

Nat Neurosci. 2015 Oct;18(10):1509-17. doi: 10.1038/nn.4105. Epub 2015 Sep 7.

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Nat Neurosci. 2011 Jul 26;14(8):943-5. doi: 10.1038/nn.2883.

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Neurosci Biobehav Rev. 2015 Aug;55:375-92. doi: 10.1016/j.neubiorev.2015.05.001. Epub 2015 May 11.

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Pain. 2019 Jan;160(1):1-4. doi: 10.1097/j.pain.0000000000001367.

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PLoS Comput Biol. 2017 Jan 12;13(1):e1005142. doi: 10.1371/journal.pcbi.1005142. eCollection 2017 Jan.

引用本文的文献

Inflation versus filling-in: why we feel we see more than we actually do in peripheral vision.

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本文引用的文献

A Bayesian observer model constrained by efficient coding can explain 'anti-Bayesian' percepts.

Nat Neurosci. 2015 Oct;18(10):1509-17. doi: 10.1038/nn.4105. Epub 2015 Sep 7.

Efficient sensory encoding and Bayesian inference with heterogeneous neural populations.

Neural Comput. 2014 Oct;26(10):2103-34. doi: 10.1162/NECO_a_00638. Epub 2014 Jul 24.

Reassessing optimal neural population codes with neurometric functions.

Proc Natl Acad Sci U S A. 2011 Mar 15;108(11):4423-8. doi: 10.1073/pnas.1015904108. Epub 2011 Feb 28.

Bayesian integration in sensorimotor learning.

Nature. 2004 Jan 15;427(6971):244-7. doi: 10.1038/nature02169.

Some informational aspects of visual perception.

Psychol Rev. 1954 May;61(3):183-93. doi: 10.1037/h0054663.

Optimal short-term population coding: when Fisher information fails.

Neural Comput. 2002 Oct;14(10):2317-51. doi: 10.1162/08997660260293247.

Motion illusions as optimal percepts.

Nat Neurosci. 2002 Jun;5(6):598-604. doi: 10.1038/nn0602-858.

Humans integrate visual and haptic information in a statistically optimal fashion.

Nature. 2002 Jan 24;415(6870):429-33. doi: 10.1038/415429a.

Edge co-occurrence in natural images predicts contour grouping performance.

Vision Res. 2001 Mar;41(6):711-24. doi: 10.1016/s0042-6989(00)00277-7.

Mutual information, Fisher information, and population coding.

Neural Comput. 1998 Oct 1;10(7):1731-57. doi: 10.1162/089976698300017115.