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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...

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Autores principales: Bond, Krista, Rasero, Javier, Madan, Raghav, Bahuguna, Jyotika, Rubin, Jonathan, Verstynen, Timothy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2023
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.
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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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