ArticleScientific reports2019
Phenomenological models of Na
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Dynamic Clamp Methods to Investigate Impaired Neuronal Excitability Associated with Autism.Journal of visualized experiments : JoVE · 2025Article
- Genetically engineered HEK cells as a valuable tool for studying electroporation in excitable cells.Scientific reports · 2024Article
- Power spectral analysis of voltage-gated channels in neurons.Frontiers in neuroinformatics · 2024Article
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Authors and funding
5 authors.
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Abstract
Computational models of ion channels represent the building blocks of conductance-based, biologically inspired models of neurons and neural networks. Ion channels are still widely modelled by means of the formalism developed by the seminal work of Hodgkin and Huxley (HH), although the electrophysiological features of the channels are currently known to be better fitted by means of kinetic Markov-type models. The present study is aimed at showing why simplified Markov-type kinetic models are more suitable for ion channels modelling as compared to HH ones, and how a manual optimization process can be rationally carried out for both. Previously published experimental data of an illustrative ion channel (Na
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