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啮齿动物桶状皮层中触觉场景的表现。

Representation of tactile scenes in the rodent barrel cortex.

机构信息

Unité de Neuroscience, Information et Complexité (UNIC), Centre National de la Recherche Scientifique, FRE 3693, 91198 Gif-sur-Yvette, France.

Unité de Neuroscience, Information et Complexité (UNIC), Centre National de la Recherche Scientifique, FRE 3693, 91198 Gif-sur-Yvette, France.

出版信息

Neuroscience. 2018 Jan 1;368:81-94. doi: 10.1016/j.neuroscience.2017.08.039. Epub 2017 Aug 23.

DOI:10.1016/j.neuroscience.2017.08.039
PMID:28843997
Abstract

After half a century of research, the sensory features coded by neurons of the rodent barrel cortex remain poorly understood. Still, views of the sensory representation of whisker information are increasingly shifting from a labeled line representation of single-whisker deflections to a selectivity for specific elements of the complex statistics of the multi-whisker deflection patterns that take place during spontaneous rodent behavior - so called natural tactile scenes. Here we review the current knowledge regarding the coding of patterns of whisker stimuli by barrel cortex neurons, from responses to single-whisker deflections to the representation of complex tactile scenes. A number of multi-whisker tunings have already been identified, including center-surround feature extraction, angular tuning during edge-like multi-whisker deflections, and even tuning to specific statistical properties of the tactile scene such as the level of correlation across whiskers. However, a more general model of the representation of multi-whisker information in the barrel cortex is still missing. This is in part because of the lack of a human intuition regarding the perception emerging from a whisker system, but also because in contrast to other primary sensory cortices such as the visual cortex, the spatial feature selectivity of barrel cortex neurons rests on highly nonlinear interactions that remained hidden to classical receptive field approaches.

摘要

经过半个世纪的研究,啮齿动物桶状皮层神经元编码的感觉特征仍然知之甚少。尽管如此,对胡须信息的感觉表示的看法正逐渐从单一胡须偏斜的标记线表示转变为对复杂多胡须偏斜模式统计信息的特定元素的选择性,这些模式发生在自发的啮齿动物行为中,即所谓的自然触觉场景。在这里,我们回顾了关于桶状皮层神经元对胡须刺激模式进行编码的当前知识,从对单一胡须偏斜的反应到对复杂触觉场景的表示。已经确定了许多多胡须调谐,包括中心-周围特征提取、边缘状多胡须偏斜期间的角度调谐,甚至对触觉场景的特定统计特性(例如胡须之间的相关性水平)进行调谐。然而,桶状皮层中多胡须信息表示的更一般模型仍然缺失。这部分是因为缺乏对从胡须系统中出现的感知的人类直觉,但也因为与其他初级感觉皮层(如视觉皮层)不同,桶状皮层神经元的空间特征选择性基于高度非线性相互作用,而经典感受野方法仍然隐藏这些相互作用。

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