How adaptation makes low firing rates robust

DOI10.1186/S13408-017-0047-3zbMath1395.92047OpenAlexW2652019190WikidataQ33830805 ScholiaQ33830805MaRDI QIDQ723663

Arthur S. Sherman, Joon-Ho Ha

Publication date: 24 July 2018

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

Full work available at URL: https://doi.org/10.1186/s13408-017-0047-3

zbMATH Keywords

adaptationfiring rateSNIC bifurcation

Mathematics Subject Classification ID

Neural biology (92C20) Bifurcations of singular points in dynamical systems (37G10)

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Uses Software

• darch

Cites Work

• Mathematical foundations of neuroscience
• Reduction of conductance-based neuron models
• Topological and phenomenological classification of bursting oscillations
• The potassium A-current, low firing rates and rebound excitation in Hodgkin-Huxley models
• Reducing the Dimensionality of Data with Neural Networks
• Feedback Loops Shape Cellular Signals in Space and Time
• A Universal Model for Spike-Frequency Adaptation

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