Exchange of information in the brain: from biological neural networks to electrical neural networks

In this work neuron information exchanges have been investigated by modeling nonlinear lattices by connecting Hindmarsh-Rose neurons. In the first phase, regular network models have been characterized by varying the coupling strength in bidimensional arrays of neurons. In the second one, dynamical behavior of 2-D small world configurations, with long term connections, has been considered. Several experiments have been characterized by quantifying a synchronization index. A trade off between network architecture complexity and information exchange performances has been discussed.