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LATER models of neural decision behavior in choice tasks

Reaction time has been increasingly used over the last few decades to provide information on neural decision processes: it is a direct reflection of decision time. Saccades provide an excellent paradigm for this because many of them can be made in a very short time and the underlying neural pathways...

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Autor principal: Noorani, Imran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4141543/
https://www.ncbi.nlm.nih.gov/pubmed/25202242
http://dx.doi.org/10.3389/fnint.2014.00067
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author Noorani, Imran
author_facet Noorani, Imran
author_sort Noorani, Imran
collection PubMed
description Reaction time has been increasingly used over the last few decades to provide information on neural decision processes: it is a direct reflection of decision time. Saccades provide an excellent paradigm for this because many of them can be made in a very short time and the underlying neural pathways are relatively well-known. LATER (linear approach to threshold with ergodic rate) is a model originally devised to explain reaction time distributions in simple decision tasks. Recently, however it is being extended to increasingly more advanced tasks, including those with decision errors and those requiring voluntary control such as the antisaccade task and those where sequential decisions are required. The strength of this modeling approach lies in its detailed, quantitative predictions of behavior, yet LATER models still retain their conceptual simplicity that made LATER initially successful in explaining reaction times in simple decision tasks.
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spelling pubmed-41415432014-09-08 LATER models of neural decision behavior in choice tasks Noorani, Imran Front Integr Neurosci Neuroscience Reaction time has been increasingly used over the last few decades to provide information on neural decision processes: it is a direct reflection of decision time. Saccades provide an excellent paradigm for this because many of them can be made in a very short time and the underlying neural pathways are relatively well-known. LATER (linear approach to threshold with ergodic rate) is a model originally devised to explain reaction time distributions in simple decision tasks. Recently, however it is being extended to increasingly more advanced tasks, including those with decision errors and those requiring voluntary control such as the antisaccade task and those where sequential decisions are required. The strength of this modeling approach lies in its detailed, quantitative predictions of behavior, yet LATER models still retain their conceptual simplicity that made LATER initially successful in explaining reaction times in simple decision tasks. Frontiers Media S.A. 2014-08-22 /pmc/articles/PMC4141543/ /pubmed/25202242 http://dx.doi.org/10.3389/fnint.2014.00067 Text en Copyright © 2014 Noorani. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Noorani, Imran
LATER models of neural decision behavior in choice tasks
title LATER models of neural decision behavior in choice tasks
title_full LATER models of neural decision behavior in choice tasks
title_fullStr LATER models of neural decision behavior in choice tasks
title_full_unstemmed LATER models of neural decision behavior in choice tasks
title_short LATER models of neural decision behavior in choice tasks
title_sort later models of neural decision behavior in choice tasks
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4141543/
https://www.ncbi.nlm.nih.gov/pubmed/25202242
http://dx.doi.org/10.3389/fnint.2014.00067
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