https://doi.org/10.1140/epjs/s11734-025-01823-5
Regular Article
Modulation of neuronal activity by temperature and electromagnetic induction in a memristive Huber–Braun model
1
Center for Cognitive Science, Trichy SRM Medical College Hospital and Research Center, Trichy, India
2
Center for Research, SRM Easwari Engineering College, Chennai, India
3
Center for Research, SRM TRP Engineering College, Trichy, India
4
Department of Mathematics and Computer Science, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran
5
School of Mathematics and Data Science, Shaanxi University of Science and Technology, 710021, Xi’an, People’s Republic of China
6
Electrical and Computer Engineering Group, Golpayegan College of Engineering, Isfahan University of Technology, 87717-67498, Golpayegan, Iran
7
Health Technology Research Institute, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran
8
Department of Biomedical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran
Received:
22
April
2025
Accepted:
19
July
2025
Published online:
2
August
2025
Significant progress has been made in understanding the effects of temperature on biological systems; however, the underlying thermal mechanisms influencing neuronal activity remain incompletely understood. Additionally, neuronal firing is modulated by other factors, including electromagnetic induction, which plays a crucial role in shaping electrical activity. In this study, we investigate the firing dynamics of an improved Huber–Braun neuron model that incorporates a memristive component to account for electromagnetic induction effects. We examine the influence of temperature, electromagnetic induction parameters, and slow ionic conductances on neuronal behavior. The results demonstrate that electromagnetic induction markedly increases the complexity of the system’s dynamics, particularly at intermediate temperatures where diverse firing patterns, including regular spiking, multi-periodic, and chaotic activity, emerge. In contrast, extreme low or high temperatures lead to stable, regular spiking, largely independent of induction strength. The analyses also reveal regions of multistability, where multiple firing regimes coexist under the same conditions. Moreover, firing rate analysis shows that temperature generally promotes increased neuronal activity, while the effect of induction strength on firing rate exhibits a nonlinear dependence modulated by slow ionic conductances. These findings offer valuable insights into the interplay between thermal and electromagnetic influences on neuronal excitability and may inform future research in computational neuroscience and neurostimulation technologies.
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© The Author(s), under exclusive licence to EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature 2025
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
