IFLP   13074
INSTITUTO DE FISICA LA PLATA
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
Poster: "First-order transition resulting from asymmetric input distribution in a neuron populat ion model"
Autor/es:
FERNANDO MONTANI; ROMAN BARAVALLE
Reunión:
Congreso; StatPhys27; 2019
Resumen:
It is usually assumed that the output variables of functional and structuralbrain parameters, such as the firing rates of individual neurons or the synchronousdischarge of neural populations have a bell-shaped input distribution.However, at many physiological and anatomical levels in the brain,the distribution of numerous parameters is in fact strongly skewed with aheavy tail, suggesting that skewed distributions are fundamental to structuraland functional brain organization. Importantly, populations of neuronsshow synchronous activity patterns as they share common correlatedinputs. The Dichotomized Gaussian framework refers to the case in whichthese inputs are considered as Gaussians distributed. We present an extensionto the Dichotomized Gaussian input model considering a skewedinput distribution. The skewness of the distribution induces a first-ordertransition in the model and we show analytically how small changes in thecorrelation inputs can lead to large changes in the interactions of theoutputs leading to a phase transition. More specifically, we present anexact quantification of output variables of functional and structural brainparameters by estimating the different orders of the cumulants.