- Abstract:
-
Research in social neuroscience has increasingly begun to use the tools of computational neuroscience to better understand behaviour. Such approaches have proven fruitful for probing underlying neural mechanisms. However, little attention has been paid to how the structure of experimental tasks relates to real-world decisions, and the problems that brains have evolved to solve. To go significantly beyond current understanding, we must begin to use paradigms and mathematical models from behavi...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Files:
-
- Publisher copy:
- 10.1093/scan/nsaa037
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- Publisher:
- Oxford University Press Publisher's website
- Journal:
- Social Cognitive and Affective Neuroscience Journal website
- Article number:
- nsaa037
- Publication date:
- 2020-03-30
- Acceptance date:
- 2020-03-18
- DOI:
- EISSN:
-
1749-5024
- ISSN:
-
1749-5016
- Pubs id:
-
1098462
- Local pid:
- pubs:1098462
- Language:
- English
- Keywords:
- Copyright holder:
- Gaba and Apps
- Copyright date:
- 2020
- Rights statement:
- © The Author(s) 2020. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License
- License:
- CC Attribution (CC BY)
Journal article
Foraging Optimally in Social Neuroscience: Computations and Methodological considerations
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