Topological analysis of population activity in visual cortex.
Topological analysis of population activity in visual cortex.
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DOI：
10.1167/8.8.11
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发表时间：
2008-06
影响因子：
1.8
通讯作者：
G. Singh;F. Mémoli;T. Ishkhanov;G. Sapiro;G. Carlsson;D. Ringach
中科院分区：
文献类型：
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作者：
G. Singh;F. Mémoli;T. Ishkhanov;G. Sapiro;G. Carlsson;D. Ringach
皮质中的信息被认为是由神经元的联合活动来表示的。在这里，我们描述了如何神经表征的基本问题，可以投在人口活动的拓扑结构。本文介绍了一种基于持续同源概念的新方法，并将其应用于初级视皮层（V1）群体活动的研究。我们发现，当皮层自发活动时，活动模式的拓扑结构与自然图像刺激诱发的活动模式相似，并且与两个球体的拓扑结构一致。我们将讨论如何从方向和空间频率图的功能组织及其相互关系中产生这种结构。我们的研究结果扩展了先前关于V1中自发活动和诱发活动之间关系的结果，并说明了计算拓扑如何帮助解决有关神经系统中信息表示的基本问题。
Information in the cortex is thought to be represented by the joint activity of neurons. Here we describe how fundamental questions about neural representation can be cast in terms of the topological structure of population activity. A new method, based on the concept of persistent homology, is introduced and applied to the study of population activity in primary visual cortex (V1). We found that the topological structure of activity patterns when the cortex is spontaneously active is similar to those evoked by natural image stimulation and consistent with the topology of a two sphere. We discuss how this structure could emerge from the functional organization of orientation and spatial frequency maps and their mutual relationship. Our findings extend prior results on the relationship between spontaneous and evoked activity in V1 and illustrates how computational topology can help tackle elementary questions about the representation of information in the nervous system.