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Article . 2017
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Trends in Cognitive Sciences
Article . 2017 . Peer-reviewed
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The Sampling Brain

descriptionPublicationkeyboard_double_arrow_right Article 01 Jul 2017 English Publisher:Elsevier BVJournal:Trends in Cognitive Sciences, volume 21, pages 492-493 (issn: 1364-6613, Copyright policy )
Authors: Sanborn, Adam N.; Chater, Nick;

doi: 10.1016/j.tics.2017.04.009

pmid: 28622849

The Sampling Brain

Abstract

Alday, Schlesewsky, and Bornkessel-Schlesewsky [1] provide a stimulating commentary on the issues discussed in our paper [2], highlighting important connections between sampling, Bayesian inference, neural networks, free energy, and basins of attraction. We trace here some relevant history of computational theories of the brain.

Related Organizations
Keywords

Brain, Bayes Theorem, Models, Theoretical, QA, QP, QC

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 6
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Average
Top 10%
Green