A model for an electronic spiking neuron built with a memristive voltage-gated element
Leandro E. Fernandez,
Agustin Carpio,
Jiaming Wu,
Stefano Boccaletti,
Marcelo Rozenberg and
Gabriel B. Mindlin
Chaos, Solitons & Fractals, 2024, vol. 180, issue C
Abstract:
This study introduces a mathematical model for an electronic circuit capable of emulating both spiking and bursting neurons. The circuit incorporates a memristor as the nonlinear element essential for generating excitable dynamics. Our demonstrations illustrate that the model's solutions effectively capture the qualitative features of circuit voltages and currents. Additionally, we provide interpretations of these qualitative characteristics in the context of the underlying dynamics of the system.
Keywords: Electronic neurons; Dynamics; Bifurcations (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960077924001061
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:180:y:2024:i:c:s0960077924001061
DOI: 10.1016/j.chaos.2024.114555
Access Statistics for this article
Chaos, Solitons & Fractals is currently edited by Stefano Boccaletti and Stelios Bekiros
More articles in Chaos, Solitons & Fractals from Elsevier
Bibliographic data for series maintained by Thayer, Thomas R. ().