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AuthorAlireza, Bahramian
AuthorRamadoss, Janarthanan
AuthorNazarimehr, Fahimeh
AuthorRajagopal, Karthikeyan
AuthorJafari, Sajad
AuthorHussain, Iqtadar
Available date2022-05-30T05:49:31Z
Publication Date2022-04-21
Publication NameJournal of Theoretical Biology
Identifierhttp://dx.doi.org/10.1016/j.jtbi.2022.111062
CitationBahramian, Alireza, Janarthanan Ramadoss, Fahimeh Nazarimehr, Karthikeyan Rajagopal, Sajad Jafari, and Iqtadar Hussain. "A simple one-dimensional map-based model of spiking neurons with wide ranges of firing rates and complexities." Journal of Theoretical Biology 539 (2022): 111062.
ISSN00225193
URIhttps://www.sciencedirect.com/science/article/pii/S0022519322000601
URIhttp://hdl.handle.net/10576/31646
AbstractThis paper introduces a simple 1-dimensional map-based model of spiking neurons. During the past decades, dynamical models of neurons have been used to investigate the biology of human nervous systems. The models simulate experimental records of neurons’ voltages using difference or differential equations. Difference neuronal models have some advantages besides the differential ones. They are usually simpler, and considering the cost of needed computations, they are more efficient. In this paper, a simple 1-dimensional map-based model of spiking neurons is introduced. Sample entropy is applied to analyze the complexity of the model’s dynamics. The model can generate a wide range of time series with different firing rates and different levels of complexities. Besides, using some tools like bifurcation diagrams and cobwebs, the introduced model is analyzed.
Languageen
PublisherElsevier
SubjectNeuron model
Map
Spike
Firing rate
Complexity
TitleA simple one-dimensional map-based model of spiking neurons with wide ranges of firing rates and complexities
TypeArticle
Volume Number539
dc.accessType Open Access


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