The effect of an exogenous magnetic fieldonneural coding in deep spikingneuralnetworks.

Lei Guo ,Wei Zhang ,Jialei Zhang

doi:10.31083/jin-170046

Abstract

A ten-layer feed forward network was constructed in the presence of an exogenous alternating magnetic field. Results indicate that for rate coding, the firing rate is increased in the presence of an exogenous alternating magnetic field and particularly with increasing enhancement of the alternating magnetic field amplitude. For temporal coding, in the presence of alternating magnetic field, the interspike intervals of the spiking sequence are decreased and the distribution of interspike intervals tends to be uniform.

Highlights

Previous study of spiking neuron models have shown that an applied magnetic field can affect their firing activity [1]
The biophysically reduced model neuron of Izhikevich [9,10,11] was chosen as the deep spiking neural network unit; a deep spiking neural network based on synaptic plasticity was constructed; the firing rate and the interspike intervals (ISIs) of the spike sequence of the Izhikevich model neuron is close to the spiking firing properties of neurons and suited to large-scale simulation
Spiking neural network behavior was analyzed by using rate coding and temporal coding

Summary

Introduction

Previous study of spiking neuron models have shown that an applied magnetic field can affect their firing activity [1]. Modolo et al [5] studied the single neuron and neuronal network exposed to an extremely low frequency magnetic field. Results shed light on its effect on neuronal activity from the single cell to the network level, and illustrate the importance of a number of factors both in extremely low frequency magnetic field characteristics and brain tissue properties in determining the outcome of exposure. Camera et al [7] performed simulations on neuronal models exposed to a specific pulsed magnetic field signal that seemed to be very effective in modulating the complex neuroelectromagnetic pulse Results showed that such a pulse can silence the neurons of a feed-forward network for signal intensities that depend on the strength of the bias current and endogenous noise level. The study may contribute to guide future magnetic therapeutic developments

Methods

Results

Conclusion