Bayesian statistics: relevant for the brain?

Abstract:

:Analyzing data from experiments involves variables that we neuroscientists are uncertain about. Efficiently calculating with such variables usually requires Bayesian statistics. As it is crucial when analyzing complex data, it seems natural that the brain would "use" such statistics to analyze data from the world. And indeed, recent studies in the areas of perception, action, and cognition suggest that Bayesian behavior is widespread, in many modalities and species. Consequently, many models have suggested that the brain is built on simple Bayesian principles. While the brain's code is probably not actually simple, I believe that Bayesian principles will facilitate the construction of faithful models of the brain.

journal_name

Curr Opin Neurobiol

authors

Kording KP

doi

10.1016/j.conb.2014.01.003

subject

Has Abstract

pub_date

2014-04-01 00:00:00

pages

130-3

eissn

0959-4388

issn

1873-6882

pii

S0959-4388(14)00011-7

journal_volume

25

pub_type

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