A Biological Fading Channel Model for Neural Communication Networks: a Preliminary Sketch

In the last decades, several works aimed to study the behaviour of the biological brain with different granularity (from neurons to lobes). Of course, a brain is a very complex structure, and diseases can alter its connections structure between different internal regions. In this paper we are interested to model the neuron-2-neuron and/or the agglomerate-2-agglomerate physical communications, by inheriting the typical paradigm of wireless telecommunication systems, whose channels are subject to severe time variations and degradation, i.e. fading. So, the sum of the neural signal received by the synapses of a receiving neuron, or agglomerate of neurons, is strongly time variant and the process can be considered to be stochastic, in function of the overall network topology. To the best of our knowledge, it is the first time the fading concept is introduced in brain modeling.