Multiple Choice Neurodynamical Model of the Uncertain Option Task.

The uncertain option task has been recently adopted to investigate the neural systems underlying the decision confidence. Latterly single neurons activity has been recorded in lateral intraparietal cortex of monkeys performing an uncertain option task, where the subject is allowed to opt for a small...

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Main Authors: Andrea Insabato, Mario Pannunzi, Gustavo Deco
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2017-01-01
Series:PLoS Computational Biology
Online Access:http://europepmc.org/articles/PMC5226718?pdf=render
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author Andrea Insabato
Mario Pannunzi
Gustavo Deco
author_facet Andrea Insabato
Mario Pannunzi
Gustavo Deco
author_sort Andrea Insabato
collection DOAJ
description The uncertain option task has been recently adopted to investigate the neural systems underlying the decision confidence. Latterly single neurons activity has been recorded in lateral intraparietal cortex of monkeys performing an uncertain option task, where the subject is allowed to opt for a small but sure reward instead of making a risky perceptual decision. We propose a multiple choice model implemented in a discrete attractors network. This model is able to reproduce both behavioral and neurophysiological experimental data and therefore provides support to the numerous perspectives that interpret the uncertain option task as a sensory-motor association. The model explains the behavioral and neural data recorded in monkeys as the result of the multistable attractor landscape and produces several testable predictions. One of these predictions may help distinguish our model from a recently proposed continuous attractor model.
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spelling doaj.art-4fe1ec6980f9489aa438f8c8eb08ed1a2022-12-21T19:41:14ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582017-01-01131e100525010.1371/journal.pcbi.1005250Multiple Choice Neurodynamical Model of the Uncertain Option Task.Andrea InsabatoMario PannunziGustavo DecoThe uncertain option task has been recently adopted to investigate the neural systems underlying the decision confidence. Latterly single neurons activity has been recorded in lateral intraparietal cortex of monkeys performing an uncertain option task, where the subject is allowed to opt for a small but sure reward instead of making a risky perceptual decision. We propose a multiple choice model implemented in a discrete attractors network. This model is able to reproduce both behavioral and neurophysiological experimental data and therefore provides support to the numerous perspectives that interpret the uncertain option task as a sensory-motor association. The model explains the behavioral and neural data recorded in monkeys as the result of the multistable attractor landscape and produces several testable predictions. One of these predictions may help distinguish our model from a recently proposed continuous attractor model.http://europepmc.org/articles/PMC5226718?pdf=render
spellingShingle Andrea Insabato
Mario Pannunzi
Gustavo Deco
Multiple Choice Neurodynamical Model of the Uncertain Option Task.
PLoS Computational Biology
title Multiple Choice Neurodynamical Model of the Uncertain Option Task.
title_full Multiple Choice Neurodynamical Model of the Uncertain Option Task.
title_fullStr Multiple Choice Neurodynamical Model of the Uncertain Option Task.
title_full_unstemmed Multiple Choice Neurodynamical Model of the Uncertain Option Task.
title_short Multiple Choice Neurodynamical Model of the Uncertain Option Task.
title_sort multiple choice neurodynamical model of the uncertain option task
url http://europepmc.org/articles/PMC5226718?pdf=render
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AT mariopannunzi multiplechoiceneurodynamicalmodeloftheuncertainoptiontask
AT gustavodeco multiplechoiceneurodynamicalmodeloftheuncertainoptiontask