感官辨别的神经网络模型。

Mohammad Samavat, Dori Luli, Sharon Crook
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引用次数: 2

摘要

先前的建模研究表明,侧抑制有助于提高感官网络的精确度。也就是说,抑制性连接减少了活动的扩散,抑制了邻近细胞,增加了感觉反应的可靠性。然而,对于传播活动的连接如何有助于在感官辨别任务的背景下处理感官刺激,人们知之甚少。在这项工作中,我们研究了兴奋性连接和间隙连接在网络动力学中的作用以及对感觉辨别的一些贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Neuronal Network Models for Sensory Discrimination.

Neuronal Network Models for Sensory Discrimination.

Neuronal Network Models for Sensory Discrimination.

Neuronal Network Models for Sensory Discrimination.

Previous modeling studies have demonstrated that lateral inhibition contributes to enhanced precision in sensory networks. That is, inhibitory connections reduce the spread of activity and repress neighboring cells, increasing the reliability of a sensory response. However, much less is understood about how connections that spread activity might contribute to the processing of sensory stimuli in the context of a sensory discrimination task. In this work, we examine the role of excitatory connections and gap junctions in network dynamics and some contributions to sensory discrimination.

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