Information tuning of Populations of neurons in primary visual cortex

Information tuning of Populations of neurons in primary visual cortex
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DOI:
10.1523/jneurosci.4272-03.2004
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发表时间:
2004-04-14
影响因子:
5.3
通讯作者:
Sompolinsky, H
Sompolinsky, H
中科院分区:
医学1区
文献类型:
--
作者:
Kang, KJ;Shapley, RM;Sompolinsky, H

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猕猴初级视皮层(V1)的神经元显示出多样化的方向调谐特性,表现出广泛的调谐宽度分布,基线活动,峰值响应,和圆方差(CV)。在这里,我们研究了不同的调谐功能如何影响这些细胞在区分不同方向的刺激时的表现。以前的研究集中在解决两个附近的方向接近的心理物理阈值的方向辨别能力的V1神经元。在这里,我们开发了一个理论框架,信息调谐曲线,测量细胞的识别能力作为两个刺激的方向差异,deltatheta的函数。该调谐曲线还表示神经元响应与刺激方向之间的互信息。我们从理论上研究了信息调谐曲线对取向调谐宽度、基线和峰值响应的依赖性。主要感兴趣的是发现,窄的方向调整不一定是最佳的所有角度的歧视任务。相反,最佳调谐宽度线性地依赖于Δ θ。我们应用我们的理论来研究猕猴V1中490个神经元的群体的辨别性能。我们发现,一个显着的分数的神经元群体表现出良好的调谐性能大deltatheta。我们还研究了神经元的辨别能力是如何分布的,并比较了取向调谐的其他几种测量方法,如CV与归一化调谐曲线的Baroff距离。
Neurons in macaque primary visual cortex (V1) show a diversity of orientation tuning properties, exhibiting a broad distribution of tuning width, baseline activity, peak response, and circular variance (CV). Here, we studied how the different tuning features affect the performance of these cells in discriminating between stimuli with different orientations. Previous studies of the orientation discrimination power of neurons in V1 focused on resolving two nearby orientations close to the psychophysical threshold of orientation discrimination. Here, we developed a theoretical framework, the information tuning curve, that measures the discrimination power of cells as a function of the orientation difference, deltatheta, of the two stimuli. This tuning curve also represents the mutual information between the neuronal responses and the stimulus orientation. We studied theoretically the dependence of the information tuning curve on the orientation tuning width, baseline, and peak responses. Of main interest is the finding that narrow orientation tuning is not necessarily optimal for all angular discrimination tasks. Instead, the optimal tuning width depends linearly on deltatheta. We applied our theory to study the discrimination performance of a population of 490 neurons in macaque V1. We found that a significant fraction of the neuronal population exhibits favorable tuning properties for large deltatheta. We also studied how the discrimination capability of neurons is distributed and compared several other measures of the orientation tuning such as CV with Chernoff distances for normalized tuning curves.