Journal
CURRENT OPINION IN NEUROBIOLOGY
Volume 25, Issue -, Pages 130-133Publisher
CURRENT BIOLOGY LTD
DOI: 10.1016/j.conb.2014.01.003
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Funding
- NINDS NIH HHS [R01 NS074044, R01 NS063399] Funding Source: Medline
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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.
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