Managing heterogeneity in the study of neural oscillator dynamics

DOI10.1186/2190-8567-2-5zbMath1291.92039OpenAlexW2116976114WikidataQ41166241 ScholiaQ41166241MaRDI QIDQ2251501

Ioannis G. Kevrekidis, Yu Zou, Carlo R. Laing, Ben Smith

Publication date: 14 July 2014

Published in: The Journal of Mathematical Neuroscience (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1186/2190-8567-2-5

zbMATH Keywords

bifurcationheterogeneitymodel reductioncomputationpre-Bötzinger complexneural oscillators

Mathematics Subject Classification ID

Neural biology (92C20) Dynamical systems in biology (37N25) Nonlinear oscillations and coupled oscillators for ordinary differential equations (34C15) Qualitative investigation and simulation of ordinary differential equation models (34C60)

Related Items

Uncertainty propagation in nerve impulses through the action potential mechanism, Coarse-grained clustering dynamics of heterogeneously coupled neurons, Coarse-Graining and Simplification of the Dynamics Seen in Bursting Neurons, Robustness of coupled oscillator networks with heterogeneous natural frequencies

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