A critical study of network models for neural networks and their dynamics

Gordon Govan, Alexandros O Xenos, Pierluigi Frisco

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

We use three network models, Erdos-Renyi, Watts-Strogatz and structured nodes, to generate networks sharing several topological features with the neural network of C. elegans (our target network). A new topological measurement, incoming and outgoing edges heat maps, is introduced and used to compare the considered networks. We run these networks as random recurrent neural networks and study their dynamics.

We find out that none of the considered network models generates networks similar to the target one both in their topological features and dynamics. Moreover, we find that the dynamics of the target network are very robust to the rewiring of its edges. (C) 2013 Elsevier Ltd. All rights reserved.

Original languageEnglish
Pages (from-to)1-10
Number of pages10
JournalJournal of Theoretical Biology
Volume336
DOIs
Publication statusPublished - 7 Nov 2013

Keywords

  • Network model
  • Small world
  • Topology
  • Dynamics
  • SMALL-WORLD NETWORKS
  • SPIKING NEURONS
  • OSCILLATIONS
  • TOPOLOGY

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