Journal article
Control of entropy in neural models of environmental state
- Abstract:
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Humans and animals construct internal models of their environment in order to select appropriate courses of action. The representation of uncertainty about the current state of the environment is a key feature of these models that controls the rate of learning as well as directly affecting choice behaviour. To maintain flexibility, given that uncertainty naturally decreases over time, most theoretical inference models include a dedicated mechanism to drive up model uncertainty. Here we probe ...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Version of record, pdf, 2.0MB, Terms of use)
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- Publisher copy:
- 10.7554/eLife.39404
Authors
Funding
Bibliographic Details
- Publisher:
- eLife Sciences Publications
- Journal:
- eLife More from this journal
- Volume:
- 8
- Publication date:
- 2019-02-28
- Acceptance date:
- 2019-02-06
- DOI:
- EISSN:
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2050-084X
- ISSN:
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2050-084X
- Pmid:
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30816090
Item Description
- Language:
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English
- Keywords:
- Pubs id:
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pubs:980910
- UUID:
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uuid:521e59c5-61d0-45b3-86c0-e7b5cb9d3345
- Local pid:
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pubs:980910
- Deposit date:
-
2019-04-09
Terms of use
- Copyright holder:
- Muller et al
- Copyright date:
- 2019
- Notes:
- This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.
- Licence:
- CC Attribution (CC BY)
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