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首页> 外文期刊>Journal of Neurophysiology >Temporal complexity and heterogeneity of single-neuron activity in premotor and motor cortex.
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Temporal complexity and heterogeneity of single-neuron activity in premotor and motor cortex.

机译：运动前皮层和运动皮层中单个神经元活动的时间复杂性和异质性。

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The relationship between neural activity in motor cortex and movement is highly debated. Although many studies have examined the spatial tuning (e.g., for direction) of cortical responses, less attention has been paid to the temporal properties of individual neuron responses. We developed a novel task, employing two instructed speeds, that allows meaningful averaging of neural responses across reaches with nearly identical velocity profiles. Doing so preserves fine temporal structure and reveals considerable complexity and heterogeneity of response patterns in primary motor and premotor cortex. Tuning for direction was prominent, but the preferred direction was frequently inconstant with respect to time, instructed-speed, and/or reach distance. Response patterns were often temporally complex and multiphasic, and varied with direction and instructed speed in idiosyncratic ways. A wide variety of patterns was observed, and it was not uncommon for a neuron to exhibit a pattern shared by no other neuron inour dataset. Response patterns of individual neurons rarely, if ever, matched those of individual muscles. Indeed, the set of recorded responses spanned a much higher dimensional space than would be expected for a model in which neural responses relate to a moderate number of factors-dynamic, kinematic, or otherwise. Complex responses may provide a basis-set representing many parameters. Alternately, it may be necessary to discard the notion that responses exist to "represent" movement parameters. It has been argued that complex and heterogeneous responses are expected of a recurrent network that produces temporally patterned outputs, and the present results would seem to support this view.
机译：运动皮层中的神经活动与运动之间的关系受到了激烈的争论。尽管许多研究已经检查了皮质反应的空间调整（例如，方向），但是对单个神经元反应的时间特性的关注较少。我们开发了一种新颖的任务，采用两种指令的速度，可以在具有几乎相同速度分布的范围内有意义地平均神经响应。这样做保留了良好的时间结构，并揭示了初级运动皮层和运动前皮层中反应模式的相当大的复杂性和异质性。方向调整很明显，但是首选方向通常相对于时间，指示速度和/或到达距离是不稳定的。响应模式通常在时间上是复杂的和多相的，并且随着方向和指令速度的变化而以特有的方式变化。观察到各种各样的模式，神经元表现出没有其他神经元输入数据集共享的模式并不少见。单个神经元的响应模式很少（如果有的话）与单个肌肉的响应模式匹配。实际上，记录的响应集跨越了比模型预期的空间空间高得多的模型空间，其中神经响应与中等数量的因素有关，包括动力，运动或其他因素。复杂的响应可以提供代表许多参数的基础集。或者，可能有必要放弃这样的概念，即存在响应以“表示”运动参数。有人认为，对于产生时间模式输出的递归网络，预期会有复杂和异构的响应，而目前的结果似乎支持了这一观点。

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