Neuronal Network Models for Sensory Discrimination.
Neuronal Network Models for Sensory Discrimination.
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DOI：
10.1109/acssc.2016.7869533
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发表时间：
2016-11
期刊：
影响因子：
--
通讯作者：
Crook S
中科院分区：
文献类型：
--
作者：
Samavat M;Luli D;Crook S
先前的建模研究已经表明，侧抑制有助于提高感觉网络的精度。也就是说，抑制性连接减少了活动的传播，抑制了邻近的细胞，增加了感觉反应的可靠性。然而，很少有人知道，在感觉辨别任务的背景下，传播活动的连接可能有助于处理感觉刺激。在这项工作中，我们研究了兴奋性连接和缝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。
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.