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FEF 中的运动选择动力学解释了单次目标扫视反应时间的变化。

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

机构信息

Department of Neurobiology and Anatomy, Wake Forest School of Medicine, Winston-Salem, United States.

出版信息

Elife. 2018 Apr 13;7:e33456. doi: 10.7554/eLife.33456.

Abstract

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.

摘要

在自愿运动的研究中,一个最基本的量是视觉刺激开始和向其扫视之间的反应时间(RT)。然而,这种 RT 表现出极高的可变性,尽管进行了广泛的研究,但仍未得到解释。众所周知,当出现视觉目标时,眼球运动逐渐增强,直到达到一个关键水平,此时会触发扫视。在这里,基于猴子额眼区(FEF)的计算工作和单个神经元记录,我们表明,这种上升到阈值的过程从一个已经包含其他初始的、内部驱动的运动计划的动态初始状态开始,这些计划与目标驱动的活动竞争,竞争程度各不相同。由此产生的冲突解决过程,表现为基线活动、建立速度和阈值之间的细微协变,由基本的确定性相互作用组成,它解释了观察到的 RT 分布,同时只引入了少量的内在随机性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f13/5947991/f3577d44adf4/elife-33456-fig1.jpg

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