Inter-neuron interference analysis in neuro-synaptic communications

The neuro-synaptic system is a molecular communication network which is important in the human body. In this system, the neurons and the junctions between them, i.e., synapses, are used for the transmission. The axonal transmission and the synaptic diffusion cause interference to the adjacent neurons. We model this effect with the interference channel studied in the communication theory. Then, we propose detection and equalization methods to compensate the effects of the interference and improve the signal detection probability at the destination neurons. Finally, we evaluate the performance of the proposed schemes with simulations. The simulations show that, in an interference neuronal channel, the proposed equalization methods outperform the non-equalized system.