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Tuesday, July 21 • 5:45pm - 6:15pm
W1 S4: Motifs for processes on networks

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Workshop on Methods of Information Theory in Computational Neuroscience

Alice Schwarze
University of Washington

The study of motifs in networks can help researchers uncover links between structure and function of networks in biology, ecology, neuroscience, and many other fields. To connect the study of motifs in networks (which is common, e.g., in biology and the social sciences) with the study of motifs in dynamical processes (which is common in neuroscience), we propose to distinguish between "structure motifs" (i.e., graphlets) in networks and "process motifs" (i.e., structured sets of walks) on networks. Using as examples the covariances and correlations in a multivariate Ornstein--Uhlenbeck process on a network, we demonstrate that the distinction between structure motifs and process motifs makes it possible to gain new, quantitative insights into mechanisms that contribute to important functions of dynamical systems on networks.

Speakers
avatar for Alice Schwarze

Alice Schwarze

University of Washington


Tuesday July 21, 2020 5:45pm - 6:15pm CEST
Crowdcast (W01)