The unknown but knowable relationship between Presaccadic Accumulation of activity and Saccade initiation.

IF 1.5 4区 医学 Q3 MATHEMATICAL & COMPUTATIONAL BIOLOGY Journal of Computational Neuroscience Pub Date : 2021-08-01 Epub Date: 2021-03-12 DOI:10.1007/s10827-021-00784-7
Jeffrey D Schall, Martin Paré
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引用次数: 3

Abstract

The goal of this short review is to call attention to a yawning gap of knowledge that separates two processes essential for saccade production. On the one hand, knowledge about the saccade generation circuitry within the brainstem is detailed and precise - push-pull interactions between gaze-shifting and gaze-holding processes control the time of saccade initiation, which begins when omnipause neurons are inhibited and brainstem burst neurons are excited. On the other hand, knowledge about the cortical and subcortical premotor circuitry accomplishing saccade initiation has crystalized around the concept of stochastic accumulation - the accumulating activity of saccade neurons reaching a fixed value triggers a saccade. Here is the gap: we do not know how the reaching of a threshold by premotor neurons causes the critical pause and burst of brainstem neurons that initiates saccades. Why this problem matters and how it can be addressed will be discussed. Closing the gap would unify two rich but curiously disconnected empirical and theoretical domains.

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眼动前活动积累与眼动开始之间未知但可知的关系。
这篇简短综述的目的是提醒人们注意一个巨大的知识鸿沟,它将眼跳产生所必需的两个过程分开。一方面,关于脑干内眼跳产生回路的知识是详细而精确的——目光转移和目光保持过程之间的推拉相互作用控制着眼跳开始的时间,当全顶神经元被抑制和脑干爆发神经元被兴奋时,眼跳开始启动。另一方面,关于完成扫视启动的皮层和皮层下运动前回路的知识已经围绕随机积累的概念具体化了-扫视神经元的积累活动达到固定值触发扫视。这里有一个差距:我们不知道运动前神经元达到阈值是如何导致脑干神经元的关键暂停和爆发,从而引发扫视。我们将讨论为什么这个问题很重要以及如何解决这个问题。缩小这一差距将把两个丰富但奇怪地互不相关的经验和理论领域统一起来。
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来源期刊
CiteScore
2.00
自引率
8.30%
发文量
32
审稿时长
3 months
期刊介绍: The Journal of Computational Neuroscience provides a forum for papers that fit the interface between computational and experimental work in the neurosciences. The Journal of Computational Neuroscience publishes full length original papers, rapid communications and review articles describing theoretical and experimental work relevant to computations in the brain and nervous system. Papers that combine theoretical and experimental work are especially encouraged. Primarily theoretical papers should deal with issues of obvious relevance to biological nervous systems. Experimental papers should have implications for the computational function of the nervous system, and may report results using any of a variety of approaches including anatomy, electrophysiology, biophysics, imaging, and molecular biology. Papers investigating the physiological mechanisms underlying pathologies of the nervous system, or papers that report novel technologies of interest to researchers in computational neuroscience, including advances in neural data analysis methods yielding insights into the function of the nervous system, are also welcomed (in this case, methodological papers should include an application of the new method, exemplifying the insights that it yields).It is anticipated that all levels of analysis from cognitive to cellular will be represented in the Journal of Computational Neuroscience.
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