使用复合增益场计算到达计划。
Using a compound gain field to compute a reach plan.
机构信息
Department of Anatomy and Neurobiology, Washington University in St. Louis School of Medicine, St. Louis, MO 63110, USA.
出版信息
Neuron. 2009 Dec 10;64(5):744-55. doi: 10.1016/j.neuron.2009.11.005.
Abstract
A gain field, the scaling of a tuned neuronal response by a postural signal, may help support neuronal computation. Here, we characterize eye and hand position gain fields in the parietal reach region (PRR). Eye and hand gain fields in individual PRR neurons are similar in magnitude but opposite in sign to one another. This systematic arrangement produces a compound gain field that is proportional to the distance between gaze location and initial hand position. As a result, the visual response to a target for an upcoming reach is scaled by the initial gaze-to-hand distance. Such a scaling is similar to what would be predicted in a neural network that mediates between eye- and hand-centered representations of target location. This systematic arrangement supports a role of PRR in visually guided reaching and provides strong evidence that gain fields are used for neural computations.
摘要
增益场，即姿势信号对调谐神经元反应的缩放，可能有助于支持神经元计算。在这里，我们描述了顶叶伸展区域（PRR）中的眼睛和手位置增益场。个体 PRR 神经元的眼睛和手增益场在幅度上相似，但彼此的符号相反。这种系统排列产生了一个复合增益场，该增益场与注视位置和初始手位置之间的距离成正比。因此，对即将进行的伸展的目标的视觉反应被初始的注视到手的距离缩放。这种缩放类似于在介导目标位置的眼中心和手中心表示之间的神经网络中所预测的那样。这种系统排列支持 PRR 在视觉引导伸展中的作用，并提供了增益场用于神经计算的有力证据。
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本文引用的文献
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J Neurosci. 2009 Sep 16;29(37):11461-70. doi: 10.1523/JNEUROSCI.1305-09.2009.
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Posterior parietal cortex areas MIP and LIPv receive eye position and velocity inputs via ascending preposito-thalamo-cortical pathways.顶叶后皮质区域MIP和LIPv通过上升的脑桥-丘脑-皮质通路接收眼位和速度输入。
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