Article ID Journal Published Year Pages File Type
7380127 Physica A: Statistical Mechanics and its Applications 2014 11 Pages PDF
Abstract
We propose a method of estimating network structures only from observed marked point processes using the multi-dimensional scaling. In this method, first, we calculate a spike time metric which quantifies a metric distance between the observed marked point processes. Next, to represent a relationship among point processes in the Euclidean space, we apply the multi-dimensional scaling to the metric distance between point processes. Then we apply the partialization analysis to the obtained coordinate vectors by the multi-dimensional scaling. As a result, we can estimate the network structures from multiple point processes even though the elements have many common spurious inputs from the other elements.
Related Topics
Physical Sciences and Engineering Mathematics Mathematical Physics
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