Research Article
Range Expansion in Neuro-Spike Synaptic Communication: Error Performance Analysis
@INPROCEEDINGS{10.1007/978-3-031-43135-7_20, author={Abhinav and Lokendra Chouhan and Prabhat K. Sharma}, title={Range Expansion in Neuro-Spike Synaptic Communication: Error Performance Analysis}, proceedings={Bio-inspired Information and Communications Technologies. 14th EAI International Conference, BICT 2023, Okinawa, Japan, April 11-12, 2023, Proceedings}, proceedings_a={BICT}, year={2023}, month={9}, keywords={Neuro-spike communication synaptic gap neuro-spike relay Poisson distribution}, doi={10.1007/978-3-031-43135-7_20} }- Abhinav
Lokendra Chouhan
Prabhat K. Sharma
Year: 2023
Range Expansion in Neuro-Spike Synaptic Communication: Error Performance Analysis
BICT
Springer
DOI: 10.1007/978-3-031-43135-7_20
Abstract
In this paper, a neuro-spike synaptic cooperative communication channel model is exploited. In the considered model, a neuro-spike relay (NSR) is placed in the synaptic gap of two neurons to extend the range of communication. For the analysis, a time-slotted channel is exploited, where we transmit a binary bit in each time-slot for the transmission of information from the pre-synaptic neuron called neuro-spike source (NSS) to the post-synaptic neuron called neuro-spike destination (NSD). Further, the considered model is analyzed in terms of the probability of detection and probability of false alarm. Moreover, the effect of ISI due to the transmission of molecules from the previous time-slots, and noise arises from unintended neurons are also considered in the analysis. Furthermore, the closed-form expression for the end-to-end probability of error is also computed for the cooperative link. Above all, the analytical expressions are validated using Monte-Carlo simulations.
