Uncovering bifurcation patterns in cortical synapses

DOI10.1007/s00285-009-0312-5zbMath1204.92025OpenAlexW2039250068WikidataQ43235113 ScholiaQ43235113MaRDI QIDQ604539

Ingo C. Kleppe, Hugh P. C. Robinson, Michael Small, Chi Kong Tse

Publication date: 11 November 2010

Published in: Journal of Mathematical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00285-009-0312-5

zbMATH Keywords

chaosmodellingbifurcationnonlinear time series analysiscortical synaptic transmission

Mathematics Subject Classification ID

Probabilistic models, generic numerical methods in probability and statistics (65C20) Neural biology (92C20) Dynamical systems in biology (37N25) Strange attractors, chaotic dynamics of systems with hyperbolic behavior (37D45)

Related Items (1)

A directed weighted complex network for characterizing chaotic dynamics from time series

Cites Work

• Unnamed Item
• Applying the method of surrogate data to cyclic time series
• On selecting models for nonlinear time series
• Optimal embedding parameters: a modelling paradigm

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