Journal article
Selective integration during sequential sampling in posterior neural signals
- Abstract:
-
Decisions are typically made after integrating information about multiple attributes of alternatives in a choice set. Where observers are obliged to consider attributes in turn, a computational framework known as “selective integration” can capture salient biases in human choices. The model proposes that successive attributes compete for processing resources and integration is biased towards the alternative with the locally preferred attribute. Quantitative analysis shows that this model, alt...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Authors
Bibliographic Details
- Publisher:
- Oxford University Press Publisher's website
- Journal:
- Cerebral Cortex Journal website
- Volume:
- 30
- Issue:
- 8
- Pages:
- 4454-4464
- Publication date:
- 2020-03-07
- Acceptance date:
- 2020-01-30
- DOI:
- EISSN:
-
1460-2199
- ISSN:
-
1047-3211
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
1092412
- Local pid:
- pubs:1092412
- Deposit date:
- 2020-03-11
Terms of use
- Copyright holder:
- Luyckx et al.
- Copyright date:
- 2020
- Rights statement:
- © The Author(s) 2020. Published by Oxford University Press. All rights reserved.
- Notes:
- This is the accepted manuscript version of the article. The final version is available online from Oxford University Press at: https://doi.org/10.1093/cercor/bhaa039
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