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MT区中近阈值刺激的调谐带宽

Tuning bandwidths for near-threshold stimuli in area MT.

作者信息

Britten K H, Newsome W T

机构信息

University of California, Davis Center for Neuroscience and Section of Neurobiology, Physiology and Behavior, Davis 95616, USA.

出版信息

J Neurophysiol. 1998 Aug;80(2):762-70. doi: 10.1152/jn.1998.80.2.762.

Abstract

It is not known whether psychophysical performance depends primarily on small numbers of neurons optimally tuned to specific visual stimuli, or on larger populations of neurons that vary widely in their properties. Tuning bandwidths of single cells can provide important insight into this issue, yet most bandwidth measurements have been made using suprathreshold visual stimuli, whereas psychophysical measurements are frequently obtained near threshold. We therefore examined the directional tuning of cells in the middle temporal area (MT, or V5) using perithreshold, stochastic motion stimuli that we have employed extensively in combined psychophysical and physiological studies. The strength of the motion signal (coherence) in these displays can be varied independently of its direction. For each MT neuron, we characterized the directional bandwidth by fitting Gaussian functions to directional tuning data obtained at each of several motion coherences. Directional bandwidth increased modestly as the coherence of the stimulus was reduced. We then assessed the ability of MT neurons to discriminate opposed directions of motion along six equally spaced axes of motion spanning 180 degrees. A signal detection analysis yielded neurometric functions for each axis of motion, from which neural thresholds could be extracted. Neural thresholds remained surprisingly low as the axis of motion diverged from the neuron's preferred-null axis, forming a plateau of high to medium sensitivity that extended approximately 45 degrees on either side of the preferred-null axis. We conclude that directional tuning remains broad in MT when motion signals are reduced to near-threshold values. Thus directional information is widely distributed in MT, even near the limits of psychophysical performance. These observations support models in which relatively large numbers of signals are pooled to inform psychophysical decisions.

摘要

尚不清楚心理物理表现主要取决于少量对特定视觉刺激进行最佳调谐的神经元,还是取决于特性差异很大的大量神经元群体。单细胞的调谐带宽可为这个问题提供重要见解,但大多数带宽测量是使用阈上视觉刺激进行的,而心理物理测量通常是在阈值附近获得的。因此,我们使用阈限附近的随机运动刺激来检查颞中区(MT,或V5)细胞的方向调谐,我们已在心理物理和生理联合研究中广泛使用这种刺激。这些显示中运动信号的强度(相干性)可以独立于其方向而变化。对于每个MT神经元,我们通过将高斯函数拟合到在几种运动相干性下每个获得的方向调谐数据来表征方向带宽。随着刺激相干性的降低,方向带宽适度增加。然后,我们评估了MT神经元沿着六个等距分布、跨度为180度的运动轴区分相反运动方向的能力。信号检测分析产生了每个运动轴的神经测量函数,从中可以提取神经阈值。当运动轴偏离神经元的偏好-零轴时,神经阈值仍然出奇地低,形成了一个高到中等灵敏度的平台,在偏好-零轴两侧大约延伸45度。我们得出结论,当运动信号降低到接近阈值的值时,MT中的方向调谐仍然很宽。因此,方向信息在MT中广泛分布,即使在心理物理表现的极限附近也是如此。这些观察结果支持了这样的模型,即相对大量的信号被汇总以指导心理物理决策。

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