Dynamics and bifurcations in multistable 3-cell neural networks

Chaos. 2020 Jul;30(7):072101. doi: 10.1063/5.0011374.

Abstract

We disclose the generality of the intrinsic mechanisms underlying multistability in reciprocally inhibitory 3-cell circuits composed of simplified, low-dimensional models of oscillatory neurons, as opposed to those of a detailed Hodgkin-Huxley type [Wojcik et al., PLoS One 9, e92918 (2014)]. The computational reduction to return maps for the phase-lags between neurons reveals a rich multiplicity of rhythmic patterns in such circuits. We perform a detailed bifurcation analysis to show how such rhythms can emerge, disappear, and gain or lose stability, as the parameters of the individual cells and the synapses are varied.

MeSH terms

  • Humans
  • Models, Neurological
  • Neural Networks, Computer*
  • Neurons
  • Synapses*