Suppr超能文献

运动视觉刺激如何调节网状部黑质的活动。

How moving visual stimuli modulate the activity of the substantia nigra pars reticulata.

机构信息

Department of Physiology, Faculty of Medicine, University of Szeged, Dóm tér 10, Szeged, Hungary.

出版信息

Neuroscience. 2009 Nov 10;163(4):1316-26. doi: 10.1016/j.neuroscience.2009.07.031. Epub 2009 Jul 21.

Abstract

The orientation of spatial attention via saccades is modulated by a pathway from the substantia nigra pars reticularis (SNr) to the superior colliculus, which enhances the ability to respond to novel stimuli. However, the algorithm whereby the SNr translates visual input to saccade-related information is still unknown. We recorded extracellular single-unit responses of 343 SNr cells to visual stimuli in anesthetized cats. Depending on the size, velocity and direction of the visual stimulus, SNr neurons responded by either increasing or decreasing their firing rate. Using artificial neuronal networks, visual SNr neurons could be classified into distinct groups. Some of the units showed a clear preference for one specific combination of direction and velocity (simple neurons), while other SNr neurons were sensitive to the direction (direction-tuned neurons) or the velocity (velocity-tuned neurons) of the movement. Furthermore, a subset of SNr neurons exhibited a narrow inhibitory/excitatory domain in the velocity/direction plane with an opposing surround (concentric neurons). According to our results, spatiotemporally represented visual information may determine the discharge pattern of the SNr. We suggest that the SNr utilizes spatiotemporal properties of the visual information to generate vector-based commands, which could modulate the activity of the superior colliculus and enhance or inhibit the reflexive initiation of complex and accurate saccades.

摘要

通过眼跳来定位空间注意力的方向受到来自网状部黑质(SNr)到上丘的通路的调制,该通路增强了对新刺激做出反应的能力。然而,SNr 将视觉输入转换为与眼跳相关信息的算法仍然未知。我们在麻醉猫中记录了 343 个 SNr 细胞对视觉刺激的细胞外单单位反应。根据视觉刺激的大小、速度和方向,SNr 神经元通过增加或减少其放电率来做出反应。使用人工神经网络,可以将视觉 SNr 神经元分为不同的组。一些单元对特定的方向和速度组合表现出明显的偏好(简单神经元),而其他 SNr 神经元对运动的方向(方向调谐神经元)或速度(速度调谐神经元)敏感。此外,SNr 神经元的一部分在速度/方向平面上表现出狭窄的抑制/兴奋域,并具有相反的环绕(同心神经元)。根据我们的结果,时空表示的视觉信息可能决定了 SNr 的放电模式。我们认为,SNr 利用视觉信息的时空特性来产生基于矢量的命令,这些命令可以调节上丘的活动,并增强或抑制复杂和准确的眼跳的反射性启动。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验