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The sampling brain

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Sanborn, Adam N. and Chater, Nick (2017) The sampling brain. Trends in Cognitive Sciences, 21 (7). pp. 492-493. doi:10.1016/j.tics.2017.04.009 ISSN 1364-6613.

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Official URL: https://doi.org/10.1016/j.tics.2017.04.009

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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.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics
Q Science > QC Physics
Q Science > QP Physiology
Divisions: Faculty of Social Sciences > Warwick Business School > Behavioural Science
Faculty of Science, Engineering and Medicine > Science > Psychology
Faculty of Social Sciences > Warwick Business School
Library of Congress Subject Headings (LCSH): Neural networks (Neurobiology), Maxwell-Boltzmann distribution law, Gaussian distribution
Journal or Publication Title: Trends in Cognitive Sciences
Publisher: Elsevier Science
ISSN: 1364-6613
Official Date: 13 June 2017
Dates:
DateEvent
13 June 2017Published
25 April 2017Accepted
Volume: 21
Number: 7
Page Range: pp. 492-493
DOI: 10.1016/j.tics.2017.04.009
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Date of first compliant deposit: 2 May 2017
Date of first compliant Open Access: 13 June 2018

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