External Electromagnetic Wave Excitation of a PreSynaptic Neuron Based on LIF model
Emad Arasteh Emamzadeh-Hashemi, Ailar Mahdizadeh

TL;DR
This paper investigates how external electromagnetic waves at different frequencies influence neural signaling by modeling a presynaptic neuron with a modified LIF model, revealing bifurcation phenomena near 200 Hz and aiding in frequency selection for neural stimulation.
Contribution
It introduces a novel analysis of external EM wave effects on neural communication using a modified LIF model, highlighting bifurcation behavior at specific frequencies.
Findings
Existence of a node equilibrium point in the LIF model.
Fold bifurcation occurs near 200 Hz external frequency.
Cut-off frequency depends on LIF circuit elements.
Abstract
Interaction of electromagnetic (EM) waves with human tissue has been a longstanding research topic for electrical and biomedical engineers. However, few numbers of publications discuss the impacts of external EM-waves on neural stimulation and communication through the nervous system. In fact, complex biological neural channels are a main barrier for intact and comprehensive analyses in this area. One of the everpresent challenges in neural communication responses is dependency of vesicle release probability on the input spiking pattern. In this regard, this study sheds light on consequences of changing the frequency of external EM-wave excitation on the post-synaptic neuron's spiking rate. It is assumed that the penetration depth of the wave in brain does not cover the postsynaptic neuron. Consequently, we model neurotransmission of a bipartite chemical synapse. In addition, the way…
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Taxonomy
TopicsAdvanced Memory and Neural Computing · Neural dynamics and brain function · Molecular Communication and Nanonetworks
