Single Neuron Critical Intermittency in a Stochastic Hodgkin-Huxley Model.

Single Neuron Critical Intermittency in a Stochastic Hodgkin-Huxley Model. | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL European Journal of Neuroscience This is a preprint and has not been peer reviewed. Data may be preliminary. 19 June 2025 V1 Latest version Share on Single Neuron Critical Intermittency in a Stochastic Hodgkin-Huxley Model. Authors : Konstantinos Varvaras 0009-0007-1060-8561 [email protected] , Efstratios K. Kosmidis 0000-0001-9496-4828 , and Fotios K. Diakonos Authors Info & Affiliations https://doi.org/10.22541/au.175030417.78692288/v1 Published European Journal of Neuroscience Version of record Peer review timeline 358 views 192 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Brain criticality has emerged as a rapidly growing focus of research among neuroscientists and physicists. The latest experimental evidence suggests that even isolated neurons display signs of criticality. Using a stochastic type-I parametrization of the Hodgkin-Huxley model we investigate the origin of these critical dynamics. We show that the model adequately approximates the experimentally observed behavior, as it reproduces the qualitative relationship between the critical state and both the applied external stimulation and the spiking rate. External white noise further enhances any pre-existing intermittency but cannot by itself toggle the system into a critical state. The emergence of the critical state is conditional on the system's proximity to its spiking bifurcation point and any divergence from it results in the abolition of the dynamics. Treating the neuronal membrane as a complex self-organizing system composed of interacting ion channels, we discuss the possibility of an underlying absorbing phase transition and propose that the observed dynamics result from an almost critical state. Supplementary Material File (finaldraft.docx) Download 661.56 KB File (table1.xlsx) Download 29.74 KB File (table2.xlsx) Download 22.83 KB Information & Authors Information Version history V1 Version 1 19 June 2025 Peer review timeline Published European Journal of Neuroscience Version of Record 17 Dec 2025 Published Copyright This work is licensed under a Non Exclusive No Reuse License. Collection European Journal of Neuroscience Keywords complex systems ion channels membrane potential power law self-organization Authors Affiliations Konstantinos Varvaras 0009-0007-1060-8561 [email protected] Aristotle University of Thessaloniki View all articles by this author Efstratios K. Kosmidis 0000-0001-9496-4828 Aristotle University of Thessaloniki View all articles by this author Fotios K. Diakonos National and Kapodistrian University of Athens View all articles by this author Metrics & Citations Metrics Article Usage 358 views 192 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Konstantinos Varvaras, Efstratios K. Kosmidis, Fotios K. Diakonos. Single Neuron Critical Intermittency in a Stochastic Hodgkin-Huxley Model.. Authorea . 19 June 2025. DOI: https://doi.org/10.22541/au.175030417.78692288/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . 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