Spike Detection in Axonal-synaptic Channels with Multiple Synapses

2019

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DOI 10.1109/icassp.2019.8683456
Data confidence 70 medium
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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.