An Approach to Identification of the FitzHugh-Nagumo Network Under Disturbances

The paper is devoted to the identification problem of the network composed of the FitzHugh-Nagumo single neuron models under conditions of unknown bounded disturbances. To address this problem, three versions of the speed-gradient algorithm were applied: the original one and two robustified algorithms based on the dead zone and the negative feedback. Numerical studies were conducted to examine the properties of these algorithms within the context of the considered problem.