Motor selection dynamics in FEF explain the reaction time variance of saccades to single targets

In studies of voluntary movement, a most elemental quantity is the reaction time (RT) between the onset of a visual stimulus and a saccade toward it. However, this RT demonstrates extremely high variability which, in spite of extensive research, remains unexplained. It is well established that, when...

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Main Authors: Christopher K Hauser, Dantong Zhu, Terrence R Stanford, Emilio Salinas
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2018-04-01
Series:eLife
Subjects:
Online Access:https://elifesciences.org/articles/33456
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spelling doaj-81dbd966f6344ff29cfef6cd6ecfe6192021-05-05T15:47:56ZengeLife Sciences Publications LtdeLife2050-084X2018-04-01710.7554/eLife.33456Motor selection dynamics in FEF explain the reaction time variance of saccades to single targetsChristopher K Hauser0Dantong Zhu1Terrence R Stanford2Emilio Salinas3https://orcid.org/0000-0001-7411-5693Department of Neurobiology and Anatomy, Wake Forest School of Medicine, Winston-Salem, United StatesDepartment of Neurobiology and Anatomy, Wake Forest School of Medicine, Winston-Salem, United StatesDepartment of Neurobiology and Anatomy, Wake Forest School of Medicine, Winston-Salem, United StatesDepartment of Neurobiology and Anatomy, Wake Forest School of Medicine, Winston-Salem, United StatesIn studies of voluntary movement, a most elemental quantity is the reaction time (RT) between the onset of a visual stimulus and a saccade toward it. However, this RT demonstrates extremely high variability which, in spite of extensive research, remains unexplained. It is well established that, when a visual target appears, oculomotor activity gradually builds up until a critical level is reached, at which point a saccade is triggered. Here, based on computational work and single-neuron recordings from monkey frontal eye field (FEF), we show that this rise-to-threshold process starts from a dynamic initial state that already contains other incipient, internally driven motor plans, which compete with the target-driven activity to varying degrees. The ensuing conflict resolution process, which manifests in subtle covariations between baseline activity, build-up rate, and threshold, consists of fundamentally deterministic interactions, and explains the observed RT distributions while invoking only a small amount of intrinsic randomness.https://elifesciences.org/articles/33456attentiondecision makingrewardmonkeysaccadic eye movementsfrontal eye field
collection DOAJ
language English
format Article
sources DOAJ
author Christopher K Hauser
Dantong Zhu
Terrence R Stanford
Emilio Salinas
spellingShingle Christopher K Hauser
Dantong Zhu
Terrence R Stanford
Emilio Salinas
Motor selection dynamics in FEF explain the reaction time variance of saccades to single targets
eLife
attention
decision making
reward
monkey
saccadic eye movements
frontal eye field
author_facet Christopher K Hauser
Dantong Zhu
Terrence R Stanford
Emilio Salinas
author_sort Christopher K Hauser
title Motor selection dynamics in FEF explain the reaction time variance of saccades to single targets
title_short Motor selection dynamics in FEF explain the reaction time variance of saccades to single targets
title_full Motor selection dynamics in FEF explain the reaction time variance of saccades to single targets
title_fullStr Motor selection dynamics in FEF explain the reaction time variance of saccades to single targets
title_full_unstemmed Motor selection dynamics in FEF explain the reaction time variance of saccades to single targets
title_sort motor selection dynamics in fef explain the reaction time variance of saccades to single targets
publisher eLife Sciences Publications Ltd
series eLife
issn 2050-084X
publishDate 2018-04-01
description In studies of voluntary movement, a most elemental quantity is the reaction time (RT) between the onset of a visual stimulus and a saccade toward it. However, this RT demonstrates extremely high variability which, in spite of extensive research, remains unexplained. It is well established that, when a visual target appears, oculomotor activity gradually builds up until a critical level is reached, at which point a saccade is triggered. Here, based on computational work and single-neuron recordings from monkey frontal eye field (FEF), we show that this rise-to-threshold process starts from a dynamic initial state that already contains other incipient, internally driven motor plans, which compete with the target-driven activity to varying degrees. The ensuing conflict resolution process, which manifests in subtle covariations between baseline activity, build-up rate, and threshold, consists of fundamentally deterministic interactions, and explains the observed RT distributions while invoking only a small amount of intrinsic randomness.
topic attention
decision making
reward
monkey
saccadic eye movements
frontal eye field
url https://elifesciences.org/articles/33456
work_keys_str_mv AT christopherkhauser motorselectiondynamicsinfefexplainthereactiontimevarianceofsaccadestosingletargets
AT dantongzhu motorselectiondynamicsinfefexplainthereactiontimevarianceofsaccadestosingletargets
AT terrencerstanford motorselectiondynamicsinfefexplainthereactiontimevarianceofsaccadestosingletargets
AT emiliosalinas motorselectiondynamicsinfefexplainthereactiontimevarianceofsaccadestosingletargets
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