Effects of electric fields on signaling in autaptic synapse modified Izhikevich neurons

Abstract

This paper is based on the Izhikevich neuron model and studies the influence of the electric field (EF) on the signal detection ability of the neuron system modified by electro-chemical autapses under chaotic environmental conditions. It was found that chaotic resonance occurs under specific conditions in any self-synaptic neuron model, and multiple chaotic resonances (MCR) were observed in the Izhikevich neuron model regardless of whether or not EF was considered. After the introduction of EF, the system exhibits more intense MCR. In addition, when the synaptic time-delay parameter $\tau$ is an integer multiple of the weak periodic signal period $T$, multiple chaotic resonance phenomena occur in the electro and excitatoryautaptic neuron system. It is found that the intensity of the chaotic current required for the optimal signal detection of excitatory chemical synapses under the action of EF is significantly lower than that in the scenario without EF. The analysis of the energy consumption of excitatory chemical synapses shows that EF reduces the response threshold of the system to the chaotic current, enabling the neuron to achieve adequate signal amplification with lower energy input. However, in inhibitory chemical synapses, the neuron model suppresses the weak periodic signal period $T$ and its multiples, which is more evident in the presence of EF. This is because the blocking effect eliminates the chaotic resonance. Therefore, we hope that the discoveries we’ve made can help to shed light on the behavior of the intricate nervous system under the combined influence of the electric field and autapses in a chaotic setting.