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State-change decisions and dorsomedial prefrontal cortex: the importance of time

Different kinds of decision making can be categorized by their differential effect on the agent’s current and future states as well as the computational challenges they pose. Here, we draw a distinction between within-state and state-change decision-making, and propose that a dedicated decision mech...

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Detalles Bibliográficos
Autores principales: Kolling, Nils, O'Reilly, Jill X
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B. V 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6095941/
https://www.ncbi.nlm.nih.gov/pubmed/30123818
http://dx.doi.org/10.1016/j.cobeha.2018.06.017
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author Kolling, Nils
O'Reilly, Jill X
author_facet Kolling, Nils
O'Reilly, Jill X
author_sort Kolling, Nils
collection PubMed
description Different kinds of decision making can be categorized by their differential effect on the agent’s current and future states as well as the computational challenges they pose. Here, we draw a distinction between within-state and state-change decision-making, and propose that a dedicated decision mechanism exists in dorsomedial prefrontal cortex (dmPFC) that is specialized for state-change decisions. We set out a formal framework in which state change decisions may be made on the basis of the integrated momentary reward rate, over the intended time to be spent in a state. A key feature of this framework is that reward rate is expressed as a function of continuous time. We argue that dmPFC is suited for this type of decision making partly due to its ability to track the passage of time. This proposed function of dmPFC is placed in contrast to other evaluative systems such as the orbitofrontal cortex, which is important for careful deliberation within a specific model-space or option-space and within a decision strategy.
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spelling pubmed-60959412018-08-17 State-change decisions and dorsomedial prefrontal cortex: the importance of time Kolling, Nils O'Reilly, Jill X Curr Opin Behav Sci Article Different kinds of decision making can be categorized by their differential effect on the agent’s current and future states as well as the computational challenges they pose. Here, we draw a distinction between within-state and state-change decision-making, and propose that a dedicated decision mechanism exists in dorsomedial prefrontal cortex (dmPFC) that is specialized for state-change decisions. We set out a formal framework in which state change decisions may be made on the basis of the integrated momentary reward rate, over the intended time to be spent in a state. A key feature of this framework is that reward rate is expressed as a function of continuous time. We argue that dmPFC is suited for this type of decision making partly due to its ability to track the passage of time. This proposed function of dmPFC is placed in contrast to other evaluative systems such as the orbitofrontal cortex, which is important for careful deliberation within a specific model-space or option-space and within a decision strategy. Elsevier B. V 2018-08 /pmc/articles/PMC6095941/ /pubmed/30123818 http://dx.doi.org/10.1016/j.cobeha.2018.06.017 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kolling, Nils
O'Reilly, Jill X
State-change decisions and dorsomedial prefrontal cortex: the importance of time
title State-change decisions and dorsomedial prefrontal cortex: the importance of time
title_full State-change decisions and dorsomedial prefrontal cortex: the importance of time
title_fullStr State-change decisions and dorsomedial prefrontal cortex: the importance of time
title_full_unstemmed State-change decisions and dorsomedial prefrontal cortex: the importance of time
title_short State-change decisions and dorsomedial prefrontal cortex: the importance of time
title_sort state-change decisions and dorsomedial prefrontal cortex: the importance of time
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6095941/
https://www.ncbi.nlm.nih.gov/pubmed/30123818
http://dx.doi.org/10.1016/j.cobeha.2018.06.017
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