Clique Topology Reveals Intrinsic Geometric Structure in Neural Correlations: An Overview
نویسنده
چکیده
Clique topology is a central theme in this paper and is best explained by breaking it down into two terms. A clique is a complete graph, C that is a subgraph of a directed graph G = (V,E). Alternatively, a clique in an undirected graph G is a subset of vertices, C ⊆ V where every pair of distinct vertices are adjacent. Topology in this case refers to the study of the orientation of clique connections in an order complex.
منابع مشابه
Clique topology reveals intrinsic geometric structure in neural correlations.
Detecting meaningful structure in neural activity and connectivity data is challenging in the presence of hidden nonlinearities, where traditional eigenvalue-based methods may be misleading. We introduce a novel approach to matrix analysis, called clique topology, that extracts features of the data invariant under nonlinear monotone transformations. These features can be used to detect both ran...
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تاریخ انتشار 2016