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首页> 外文期刊>The Journal of Neuroscience: The Official Journal of the Society for Neuroscience >Categorical clustering of the neural representation of color
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Categorical clustering of the neural representation of color

机译:颜色的神经表示的分类聚类

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摘要

Cortical activity was measured with functional magnetic resonance imaging (fMRI) while human subjects viewed 12 stimulus colors and performed either a color-naming or diverted attention task. A forward model was used to extract lower dimensional neural color spaces from the high-dimensional fMRI responses. The neural color spaces in two visual areas, human ventral V4 (V4v) and VO1, exhibited clustering (greater similarity between activity patterns evoked by stimulus colors within a perceptual category, compared to betweencategory colors) for the color-naming task, but not for the diverted attention task. Response amplitudes and signal-to-noise ratios were higher in most visual cortical areas for color naming compared to diverted attention. But only in V4v and VO1 did the cortical representation of color change to a categorical color space. A model is presented that induces such a categorical representation by changing the response gains of subpopulations of color-selective neurons.
机译:皮质活动是通过功能磁共振成像(fMRI)进行测量的,而人类受试者则观察了12种刺激颜色并执行了颜色命名或转移注意力的任务。使用正向模型从高维fMRI响应中提取低维神经色彩空间。对于颜色命名任务,在人类腹侧V4(V4v)和VO1这两个视觉区域中的神经颜色空间表现出聚类(与类别颜色之间相比,在感知类别中由刺激颜色引起的活动模式引起的活动模式之间的更大相似性),但对于转移注意力的任务。与转移注意力相比,在大多数视觉皮层区域进行颜色命名时,响应幅度和信噪比更高。但是只有在V4v和VO1中,颜色的皮层表示才会更改为分类颜色空间。提出了一种通过改变颜色选择神经元亚群的响应增益来诱导此类分类表示的模型。

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