Abstract
Neuro-synaptic communication system has a vital role in transporting information in the body nervous system. This system uses electrical pulses and neurotransmitters as its information carriers and sends them through the body neural network. Some illnesses like seizures, epilepsy and multiple sclerosis corrupt data transmission by adding extra interference, making it unstable. In this paper, we propose an inter-symbol interference (ISI) model for neuro-synaptic communication system and then, by designing various equalizers, try to compensate the effect of the ISI in the receiving neuron. The effect of the equalization is compared with the system without the equalizer, and the performance improvement is remarkable. We also calculate the appropriate sampling time for this system to make external digital systems capable of interconnecting with neuro-synaptic system.