Spike Detection in Axonal-synaptic Channels with Multiple Synapses

Behrouz Maham

ICASSP 2019accepted0 citations

Spike Detection in Axonal-synaptic Channels with Multiple Synapses

Abstract

The human nervous systems is a complex network, which consists of neurons interacting with each other through a hybrid electro-chemical communication called neuro-spike communications. A first building-block in network analysis of the neuro-spike nano-network is multiple-input-single- output (MISO) diversity scheme. Thus, in this paper, we consider a MISO transmission in a axonal-synaptic channels. In addition, for the first time, we model axonal noise as a binary X-channel. We derive error probability in a system consisting of axonal and synaptic noises, random channel and random vesicle release in a network with multiple transmitting synapses.

BibTeX

@inproceedings{icassp2019_spikedetectionin,
  title = {Spike Detection in Axonal-synaptic Channels with Multiple Synapses},
  author = {Behrouz Maham},
  booktitle = {ICASSP 2019},
  year = {2019}
}