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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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 |
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1721459805498900480 |