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触觉输入模式的广泛新皮质解码

Ubiquitous Neocortical Decoding of Tactile Input Patterns.

作者信息

Enander Jonas M D, Spanne Anton, Mazzoni Alberto, Bengtsson Fredrik, Oddo Calogero Maria, Jörntell Henrik

机构信息

Neural Basis of Sensorimotor Control, Department of Experimental Medical Science, Lund University, Lund, Sweden.

The BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.

出版信息

Front Cell Neurosci. 2019 Apr 12;13:140. doi: 10.3389/fncel.2019.00140. eCollection 2019.

Abstract

Whereas functional localization historically has been a key concept in neuroscience, direct neuronal recordings show that input of a particular modality can be recorded well outside its primary receiving areas in the neocortex. Here, we wanted to explore if such spatially unbounded inputs potentially contain any information about the quality of the input received. We utilized a recently introduced approach to study the neuronal decoding capacity at a high resolution by delivering a set of electrical, highly reproducible spatiotemporal tactile afferent activation patterns to the skin of the contralateral second digit of the forepaw of the anesthetized rat. Surprisingly, we found that neurons in all areas recorded from, across all cortical depths tested, could decode the tactile input patterns, including neurons of the primary visual cortex. Within both somatosensory and visual cortical areas, the combined decoding accuracy of a population of neurons was higher than for the best performing single neuron within the respective area. Such cooperative decoding indicates that not only did individual neurons decode the input, they also did so by generating responses with different temporal profiles compared to other neurons, which suggests that each neuron could have unique contributions to the tactile information processing. These findings suggest that tactile processing in principle could be globally distributed in the neocortex, possibly for comparison with internal expectations and disambiguation processes relying on other modalities.

摘要

尽管功能定位在神经科学历史上一直是一个关键概念,但直接的神经元记录表明,特定感觉模态的输入可以在新皮层的初级接收区域之外被很好地记录下来。在这里,我们想探究这种空间上无界的输入是否可能包含有关所接收输入质量的任何信息。我们利用一种最近引入的方法,通过向麻醉大鼠前爪对侧第二指的皮肤传递一组电的、高度可重复的时空触觉传入激活模式,以高分辨率研究神经元的解码能力。令人惊讶的是,我们发现,在所测试的所有皮层深度的所有记录区域中的神经元,包括初级视觉皮层的神经元,都能够解码触觉输入模式。在体感皮层和视觉皮层区域内,一群神经元的联合解码准确率高于各自区域内表现最佳的单个神经元。这种协同解码表明,不仅单个神经元能够解码输入,而且它们还通过产生与其他神经元不同时间特征的反应来做到这一点,这表明每个神经元可能对触觉信息处理有独特的贡献。这些发现表明,触觉处理原则上可能在新皮层中全局分布,可能用于与内部预期进行比较以及依赖其他感觉模态的消歧过程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bdd/6474209/e0457e17c1b9/fncel-13-00140-g0001.jpg

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