Description
Date depot: 1 octobre 2020
Titre: Statistical methods for the robust extraction of objects’ spatio-temporal relations in bioimaging –Application to the functional analysis of neuronal networks in vivo.
Directeur de thèse:
Jean-Christophe OLIVO-MARIN (Analyse d'images biologiques)
Directeur de thèse:
Thibault LAGACHE (Analyse d'images biologiques)
Domaine scientifique: Sciences et technologies de l'information et de la communication
Thématique CNRS : Sciences de l’information et sciences du vivant
Resumé:
While neurons can be considered as the computational units of the brain, computational assemblies emerge from their individual interactions and could be a keystone of the computational efficiency of biological organisms. On top of the automatic single neuron tracking that we are developing in the lab, the main objective of this project is to statistically extract the functional connectivity between individual neurons in freely behaving animals. This methodological development will allow to probe the functional organization of neuronal networks during behaviour, to model the emergent properties of such computational ensembles and finally, to unravel the mathematical principles underlying the robustness and efficiency of brain computation.
Doctorant.e: Kubler Samuel