COMPARISON OF RESPONSES TO MOVING AND STATIONARY STIMULI IN CAT STRIATE CORTEX

COMPARISON OF RESPONSES TO MOVING AND STATIONARY STIMULI IN CAT STRIATE CORTEX
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DOI:
10.1152/jn.1981.46.2.277
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发表时间:
1981-01-01
影响因子:
2.5
通讯作者:
DAVIS, TL
DAVIS, TL
中科院分区:
医学3区
文献类型:
--
作者:
PALMER, LA;DAVIS, TL

文献摘要

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对移动和静止刺激的反应进行了比较,为人口的257个纹状体神经元的猫。神经元被分类为简单或复杂的和细分的基础上,他们的静态场图。在一般情况下,这些静态场图与移动狭缝和边缘的响应的相关性很强,6个感受场类型中的每一个产生对移动刺激的特征响应。在静态场图中,运动反应的峰值总是伴随着相应的兴奋反应。在许多情况下,对运动和静止刺激的反应之间的明显差异可以通过静态场图中抑制反应的时空分布来解释。在少数细胞中,这些差异只能用非线性空间求和机制来解释。通过预测静态场图对移动刺激的反应,对静态和移动刺激的反应进行了更严格的比较。这些预测的反应并没有准确地与真实的反应移动刺激。这种困难部分源于我们无法确定对静止刺激的抑制反应的强度和时间过程。静态场图(反应平面)显然提供了一个非常详细和有用的图片的感受场结构的神经元在猫纹状皮层。当与使用移动狭缝和边缘的分析相结合时,可以提供更多的洞察力。这些技术的组合导致的结论是,猫纹状皮层中的绝大多数简单细胞和大约一半的复杂细胞是线性地求和空间分布的输入,并且对移动刺激的反应可以从它们的反应平面预测。
Responses to moving and stationary stimuli were compared for a population of 257 striate neurons in the cat. Neurons were classified as simple or complex and subclassified based on their static-field plots. In general, the correlation of these static-field plots with responses to moving slits and edges was strong, each of the 6 receptive-field types producing a characteristic response to the moving stimuli. A peak in the movement response was always accompanied by a corresponding excitatory response in the static-field plot. In many cases, apparent discrepancies between responses to moving and stationary stimuli could be accounted for by the spatiotemporal distribution of inhibitory responses in the static-field plot. In a minority of cells, these discrepancies could only be accounted for in terms of nonlinear spatial summation mechanisms. More rigorous comparison of response to static and moving stimuli was effected by predicting the responses to moving stimuli from the static-field plots. These predicted responses did not accurately compare with real responses to moving stimuli. This difficulty stems in part from our inability to determine the strength and time course of inhibitory responses to stationary stimuli. Static-field plots (response planes) apparently provide a very detailed and useful picture of receptive-field structure of neurons in cat striate cortex. Even more insight is provided when combined with analysis using moving slits and edges. The combination of these techniques leads to the conclusion that the vast majority of simple cells and about half the complex cells in cat striate cortex are summing spatially distributed inputs linearly and that responses to moving stimuli may be predicted from their response planes.