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  The Anterior Cingulate Cortex Predicts Future States to Mediate Model-Based Action Selection

Akam, T., Rodrigues-Vaz, I., Marcelo, I., Zhang, X., Pereira, M., Freire Oliveira, R., et al. (2021). The Anterior Cingulate Cortex Predicts Future States to Mediate Model-Based Action Selection. Neuron, 109(1), 149-163. doi:10.1016/j.neuron.2020.10.013.

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Akam, T, Author
Rodrigues-Vaz, I, Author
Marcelo , I, Author
Zhang, X, Author
Pereira, M, Author
Freire Oliveira , R, Author
Dayan, P1, 2, Author              
Costa, RM, Author
Affiliations:
1Department of Computational Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_3017468              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: Behavioral control is not unitary. It comprises parallel systems, model based and model free, that respectively generate flexible and habitual behaviors. Model-based decisions use predictions of the specific consequences of actions, but how these are implemented in the brain is poorly understood. We used calcium imaging and optogenetics in a sequential decision task for mice to show that the anterior cingulate cortex (ACC) predicts the state that actions will lead to, not simply whether they are good or bad, and monitors whether outcomes match these predictions. ACC represents the complete state space of the task, with reward signals that depend strongly on the state where reward is obtained but minimally on the preceding choice. Accordingly, ACC is necessary only for updating model-based strategies, not for basic reward-driven action reinforcement. These results reveal that ACC is a critical node in model-based control, with a specific role in predicting future states given chosen actions.

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 Dates: 2020-102021-01
 Publication Status: Published in print
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 Table of Contents: -
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 Identifiers: DOI: 10.1016/j.neuron.2020.10.013
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Title: Neuron
Source Genre: Journal
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Publ. Info: Cambridge, Mass. : Cell Press
Pages: - Volume / Issue: 109 (1) Sequence Number: - Start / End Page: 149 - 163 Identifier: ISSN: 0896-6273
CoNE: https://pure.mpg.de/cone/journals/resource/954925560565