Using Machine-Learning for tracking individual neurons in the small cnidarian Hydra

Encadrants : Thibault Lagache
Disponible : OUI

Spécialité : IMA
Nombre d'étudiants : 1
Description : The small cnidarian Hydra possesses one of the simplest “brain” of the animal kingdom. Therefore, the tracking of all his individual neurons is possible and might lead to the first entire decoding of a brain (i.e. the understanding of how interacting neurons can integrate the environment’s cues, compute the animal’s state and trigger appropriate behaviors).
Travail demandé : This project will aim at developing single-particle tracking that will integrate machine-learning for finding the optimal associations between moving particles.