Quantification of degeneracy in Hodgkin-Huxley neurons on Newman-Watts small world network

DOI10.1016/j.jtbi.2016.05.004zbMath1343.92086OpenAlexW2345449233WikidataQ51341609 ScholiaQ51341609MaRDI QIDQ738676

Menghua Man, Guilei Ma, Shanghe Liu, Ya Zhang, Karl J. Friston

Publication date: 5 September 2016

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

Full work available at URL: https://doi.org/10.1016/j.jtbi.2016.05.004

zbMATH Keywords

complexityredundancyneuronal networks

Mathematics Subject Classification ID

Neural biology (92C20) Neural networks for/in biological studies, artificial life and related topics (92B20)

Cites Work

• Information theory of networks
• Chaos in a three-variable model of an excitable cell
• Interspike interval attractors from chaotically driven neuron models
• Degeneracy: a design principle for achieving robustness and evolvability
• Synchronization of two Hodgkin-Huxley neurons due to internal noise
• Channel noise in Hodgkin-Huxley model neurons
• Filtered interspike interval encoding by class II neurons
• The connectivity of the brain: multi-level quantitative analysis

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