A Communication Theoretic Analysis of Synaptic Channels Under Axonal Noise


Molecular communication is an rising communication technology for applications requiring nanoscale networks. Transferring vital information regarding external and internal conditions of the body through the nervous system is an important kind of intra-body molecular nanonetworks. Thus, investigating the performance of such systems from the communication theoretic perspective provides us insight on the limitation of neuro-spike communication and ways that to design artificial neural systems. During this letter, we have a tendency to study the performance of the neuro-spike communication under different stochastic impairments like axonal shot noise, synaptic noise, and random vesicle release. The objective is to optimally detect the spikes at the receiving neuron. Since several uncertainties occur below each hypothesis, composite hypothesis is used to search out the optimum detection policy. Furthermore, we tend to get closed-form solutions for the optimal detector and derive the binary decision error at the postsynaptic terminal.

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