https://doi.org/10.1140/epjs/s11734-025-01949-6
Regular Article
Suppression effect of electromagnetic induction on weak signal transmission in feedforward networks
1
School of Mathematics and Statistics, Ningxia University, 750021, Yinchuan, China
2
School of Mathematics and Statistics, Shandong Normal University, 250014, Ji’nan, China
a
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Received:
8
April
2025
Accepted:
7
September
2025
Published online:
18
September
2025
Abstract
The Izhikevich neural model is improved to investigate ion current exchange, where fluctuations in intracellular ion concentration can induce time-varying action potentials. This study proposes a five-layer, improved multilayer Izhikevich neural feedforward network to analyze the propagation characteristics of subthreshold excitatory postsynaptic current (EPSC) signals applied to the input layer under electromagnetic induction. In multilayer excitatory neural feedforward networks, the subthreshold EPSC signals can propagate to the output layer when subjected to optimal Gaussian white noise intensity. Compared to networks without electromagnetic induction effects, moderate-to-high intensity electromagnetic interference significantly reduced neural signal transmission efficiency, while the effect under weak electromagnetic interference conditions was not statistically significant. Notably, the peak spiking time precision decreases with increasing feedback gain, indicating that electromagnetic induction suppresses EPSC signal propagation. Furthermore, in multilayer excitatory–inhibitory neural feedforward networks, inhibitory neurons are shown to enhance signal propagation efficiency. Comparative analysis reveals that the overall spiking time precision peak in excitatory–inhibitory networks is markedly higher than that in purely excitatory networks.
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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.
