人类 cVEP 中来自单分量皮层细胞的信号

IF 1.1 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Journal of Heuristics Pub Date : 2022-05-25 Epub Date: 2022-04-12 DOI:10.1523/JNEUROSCI.0276-22.2022
Valerie Nunez, James Gordon, Robert Shapley
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引用次数: 0

摘要

我们使用色觉诱发电位(cVEP)研究了6名男性和11名女性观察者在等亮度颜色刺激下视觉皮层的反应。我们使用大面积彩色方格来优先刺激单分量细胞,使用精细彩色棋盘刺激来优先激活双分量反应。刺激沿着色彩空间的以下两个方向进行调节:(1) DKL(Derrington、Krauskopf 和 Lennie)空间的 L-M 或 M-L 主方向;(2) 从白点到显示屏中红色 LED 颜色的连线,该连线在锥形对比坐标中大约介于 DKL 空间的 L-M 和 -S 方向之间。对大方格的 cVEP 波幅小于对棋盘的 cVEP 波幅,对方格的 cVEP 反应潜伏期明显小于棋盘潜伏期。对正方形的 cVEP 反应潜伏期随锥体对比度的变化很小,而对彩色棋盘图案的反应潜伏期则随锥体对比度的变化而急剧下降。对正方形和棋盘图案的 cVEPs 的动态差异支持了一种假设,即对正方形做出反应的神经元机制是不同的:单分量细胞。在 L-M 和红色方向的反应中,反应幅度、潜伏期和瞬时性--以及它们对锥体对比度的依赖性--是相似的。这种相似性支持了一种假设,即 cVEP 中的单分量信号来自于一个不同的细胞群,该细胞群接收来自 L 和 M 锥体的减法输入,即 L-M 或 M-L。在猕猴视觉皮层单细胞研究结果的基础上,我们使用大的均匀彩色刺激来分离人类观察者头皮上记录的色觉诱发电位(cVEP)中的单分量细胞反应。在被认为能显示单分量反应的条件下记录的 VEP 信号很小,而且是瞬时的。它们的时间进程相对不受锥体对比度的影响,而且对短波长敏感的 S 锥体的刺激调制相对不敏感。由于单分量细胞传递的信号可用于判断场景照明的颜色,因此了解它们的视觉特性对于理解色觉非常重要。
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Signals from Single-Opponent Cortical Cells in the Human cVEP.

We used the chromatic visual evoked potential (cVEP) to study responses in human visual cortex evoked by equiluminant color stimuli for 6 male and 11 female observers. Large-area, colored squares were used to stimulate Single-Opponent cells preferentially, and fine color-checkerboard stimuli were used to activate Double-Opponent responses preferentially. Stimuli were modulated along the following two directions in color space: (1) the cardinal direction, L-M or M-L of DKL (Derrington, Krauskopf, and Lennie) space; and (2) the line from the white point to the color of the Red LED in the display screen, which was approximately intermediate between the L-M and -S directions in DKL space in cone-contrast coordinates. The amplitudes of cVEPs to large squares were smaller than those to checkerboards, and the latency of the cVEP response to squares was significantly less than the checkerboard latency. The latency of cVEP responses to the squares varied little with cone-contrast unlike the steep reduction of latency with cone-contrast observed in responses to color checkerboard patterns. The dynamic differences between cVEPs to squares and checkerboards support the hypothesis that a distinct neuronal mechanism responded to squares: Single-Opponent cells. Response amplitude, latency, and transientness-and their dependence on cone-contrast-were similar in the responses in the L-M and Red color directions. The similarity supports the hypothesis that the Single-Opponent signals in the cVEP come from a distinct population of cells that receives subtractive inputs from L and M cones, either L-M or M-L.SIGNIFICANCE STATEMENT This article is about characterizing the visual behavior of a distinct population of neurons in the human visual cortex, the Single-Opponent color cells. Based on single-cell results in the visual cortex of macaque monkeys, we used large uniformly colored stimuli to isolate the responses of Single-Opponent cells in the chromatic visual evoked potential (cVEP) recorded on the scalp of human observers. VEP signals recorded under conditions believed to reveal Single-Opponent responses are small and transient. Their time course is relatively unaffected by cone-contrast, and they are relatively insensitive to stimulus modulation of short wavelength-sensitive S cones. Because Single-Opponent cells convey signals that can be used to judge the color of scene illumination, knowing their visual properties is important for understanding color vision.

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来源期刊
Journal of Heuristics
Journal of Heuristics 工程技术-计算机:理论方法
CiteScore
5.80
自引率
0.00%
发文量
19
审稿时长
6 months
期刊介绍: The Journal of Heuristics provides a forum for advancing the state-of-the-art in the theory and practical application of techniques for solving problems approximately that cannot be solved exactly. It fosters the development, understanding, and practical use of heuristic solution techniques for solving business, engineering, and societal problems. It considers the importance of theoretical, empirical, and experimental work related to the development of heuristics. The journal presents practical applications, theoretical developments, decision analysis models that consider issues of rational decision making with limited information, artificial intelligence-based heuristics applied to a wide variety of problems, learning paradigms, and computational experimentation. Officially cited as: J Heuristics Provides a forum for advancing the state-of-the-art in the theory and practical application of techniques for solving problems approximately that cannot be solved exactly. Fosters the development, understanding, and practical use of heuristic solution techniques for solving business, engineering, and societal problems. Considers the importance of theoretical, empirical, and experimental work related to the development of heuristics.
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