INSTITUTO DE FISICA DE LIQUIDOS Y SISTEMAS BIOLOGICOS
Unidad Ejecutora - UE
congresos y reuniones científicas
Characterization of neuronal dynamics using a non-Gaussian noise
FERNANDO MONTANI; OSVALDO A. ROSSO; ROMAN BARAVALLE
Conferencia; XIX Conference on Nonequilibrium Statistical Mechanics and Nonlinear Physics; 2016
The study of the dynamics of a neuron given the current currents and the possible influence of emphatic coupling of the network has been a major issue for a long time in computational neuroscience. In our paper we propose a possible solution of the master equation of a neuron. We use a method of analysis based on comprehensive technical way to calculate the probability distribution of the onset potential considering a background noise and possible contributions of the surrounding activity. We consider a non-Gaussian noise as a possible source of correlated neural activity and estimate the complexity, entropy and Fisher information system characterizing the dynamics of the system.