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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
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Official URL: https://doi.org/10.1016/j.tics.2017.04.009
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 | ||||||
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| Subjects: | Q Science > QA Mathematics Q Science > QC Physics Q Science > QP Physiology |
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| Divisions: | Faculty of Social Sciences > Warwick Business School > Behavioural Science Faculty of Science > Psychology Faculty of Social Sciences > Warwick Business School |
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| 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: |
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| 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 |
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