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Competing neural representations of choice shape evidence accumulation in humans
Making adaptive choices in dynamic environments requires flexible decision policies. Previously, we showed how shifts in outcome contingency change the evidence accumulation process that determines decision policies. Using in silico experiments to generate predictions, here we show how the cortico-b...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10624421/ https://www.ncbi.nlm.nih.gov/pubmed/37818943 http://dx.doi.org/10.7554/eLife.85223 |
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author | Bond, Krista Rasero, Javier Madan, Raghav Bahuguna, Jyotika Rubin, Jonathan Verstynen, Timothy |
author_facet | Bond, Krista Rasero, Javier Madan, Raghav Bahuguna, Jyotika Rubin, Jonathan Verstynen, Timothy |
author_sort | Bond, Krista |
collection | PubMed |
description | Making adaptive choices in dynamic environments requires flexible decision policies. Previously, we showed how shifts in outcome contingency change the evidence accumulation process that determines decision policies. Using in silico experiments to generate predictions, here we show how the cortico-basal ganglia-thalamic (CBGT) circuits can feasibly implement shifts in decision policies. When action contingencies change, dopaminergic plasticity redirects the balance of power, both within and between action representations, to divert the flow of evidence from one option to another. When competition between action representations is highest, the rate of evidence accumulation is the lowest. This prediction was validated in in vivo experiments on human participants, using fMRI, which showed that (1) evoked hemodynamic responses can reliably predict trial-wise choices and (2) competition between action representations, measured using a classifier model, tracked with changes in the rate of evidence accumulation. These results paint a holistic picture of how CBGT circuits manage and adapt the evidence accumulation process in mammals. |
format | Online Article Text |
id | pubmed-10624421 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-106244212023-11-04 Competing neural representations of choice shape evidence accumulation in humans Bond, Krista Rasero, Javier Madan, Raghav Bahuguna, Jyotika Rubin, Jonathan Verstynen, Timothy eLife Neuroscience Making adaptive choices in dynamic environments requires flexible decision policies. Previously, we showed how shifts in outcome contingency change the evidence accumulation process that determines decision policies. Using in silico experiments to generate predictions, here we show how the cortico-basal ganglia-thalamic (CBGT) circuits can feasibly implement shifts in decision policies. When action contingencies change, dopaminergic plasticity redirects the balance of power, both within and between action representations, to divert the flow of evidence from one option to another. When competition between action representations is highest, the rate of evidence accumulation is the lowest. This prediction was validated in in vivo experiments on human participants, using fMRI, which showed that (1) evoked hemodynamic responses can reliably predict trial-wise choices and (2) competition between action representations, measured using a classifier model, tracked with changes in the rate of evidence accumulation. These results paint a holistic picture of how CBGT circuits manage and adapt the evidence accumulation process in mammals. eLife Sciences Publications, Ltd 2023-10-11 /pmc/articles/PMC10624421/ /pubmed/37818943 http://dx.doi.org/10.7554/eLife.85223 Text en © 2023, Bond et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Neuroscience Bond, Krista Rasero, Javier Madan, Raghav Bahuguna, Jyotika Rubin, Jonathan Verstynen, Timothy Competing neural representations of choice shape evidence accumulation in humans |
title | Competing neural representations of choice shape evidence accumulation in humans |
title_full | Competing neural representations of choice shape evidence accumulation in humans |
title_fullStr | Competing neural representations of choice shape evidence accumulation in humans |
title_full_unstemmed | Competing neural representations of choice shape evidence accumulation in humans |
title_short | Competing neural representations of choice shape evidence accumulation in humans |
title_sort | competing neural representations of choice shape evidence accumulation in humans |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10624421/ https://www.ncbi.nlm.nih.gov/pubmed/37818943 http://dx.doi.org/10.7554/eLife.85223 |
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