Weighted Clique Analysis Reveals Hierarchical Neuronal Network Dynamics

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10613)

Abstract

A biologically-plausible simulation of a neuronal network is studied as its topology is shaped by its activity by means of an encoding of its connectivity structure as a directed clique complex. Specially defined invariants of this mathematical structure, including the information about synaptic strength, are introduced and show how the initial topology of a network and its evolution during the simulation are tightly inter-related with the dynamical activity.

Keywords

Recurrent neural dynamics Graph topology Directed clique complex Synfire chain Synaptic plasticity 

Notes

Acknowledgments

This work was partially supported by the Swiss National Science Foundation grant CR13I1-138032.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.NeuroHeuristic Research GroupUniversity of LausanneLausanneSwitzerland

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