Lurching waves in thalamic neuronal networks

Jaime E. Cisternas, Thomas M. Wasylenko, Ioannis G. Kevrekidis

Resultado de la investigación: Capítulo del libro/informe/acta de congresoCapítulo

Resumen

Numerical bifurcation computations are used to characterize traveling waves for a family of models of thalamic neurons in a network. These models consist of two layers of neurons: one made up of excitatory neurons, and the other of inhibitory ones. The interplay of these two different couplings gives rise to the propagation of activity waves. This article contains some preliminary work on the characterization of the observed waves in a one-dimensional lattice and explores the effects of varying key parameters of the model. The stability of these solutions, as well as the presence of hysteresis and the coexistence of up to three different waves, are most naturally explained in terms of the theory of bifurcations of dynamical systems.
Idioma originalInglés estadounidense
Título de la publicación alojadaLocalized States in Physics: Solitons and Patterns
Número de páginas17
ISBN (versión digital)9783642165481
DOI
EstadoPublicada - 1 dic 2011

Huella Profundice en los temas de investigación de 'Lurching waves in thalamic neuronal networks'. En conjunto forman una huella única.

Citar esto