Moving bumps in theta neuron networks

Autor: Laing, Carlo R., Omel'chenko, Oleh
Rok vydání: 2020
Předmět:
Zdroj: Chaos 30, 043117 (2020)
Druh dokumentu: Working Paper
DOI: 10.1063/1.5143261
Popis: We consider large networks of theta neurons on a ring, synaptically coupled with an asymmetric kernel. Such networks support stable "bumps" of activity, which move along the ring if the coupling kernel is asymmetric. We investigate the effects of the kernel asymmetry on the existence, stability and speed of these moving bumps using continuum equations formally describing infinite networks. Depending on the level of heterogeneity within the network we find complex sequences of bifurcations as the amount of asymmetry is varied, in strong contrast to the behaviour of a classical neural field model.
Comment: To appear in Chaos
Databáze: arXiv