LABORATOIRE DE PHYSIQUE THEORIQUE DE LA MATIERE CONDENSEE

Simona Cocco

LPS, ENS

Inference of interaction networks from the correlated activity of a population of variables.

I will present some inverse statistical physics approaches to extract models of the activity of a population of variables from their recorded correlated activity. I will detail two applications of these inference techniques in the domain of neuroscience and of bioinformatics: the analysis of multi-electode recordings of a population of neurons and the modeling of protein structure and functions from sequences collected in data bases.