Research topic
The general goal of my PhD is to evaluate association statistics of electrophysiological data. Among other techniques, I apply topological data analysis tools.Keywords: mathematical neuroscience, topological data analysis
Articles
- Louise Martineau, Christophe Pouzat, Ségolen Geffray (2025). ToMATo: an efficient and robust clustering algorithm for high dimensional datasets. An illustration with spike sorting. Preprint. [HAL]
Communications
- June 2025 : International Conference on Mathematical Neuroscience 2025, Barcelona.
The ToMATo clustering algorithm for spike sorting (poster). - June 2025: Journées de Statistiques 2025, Marseille.
The ToMATo clustering algorithm for neuronal spike sorting. - May 2025: PhD Student Seminar, IECL Nancy.
Introduction à l’analyse topologique des données en statistique et applications en neurosciences. - March 2025: PhD Student Seminar, Strasbourg.
The ToMATo clustering algorithm for neuronal spike sorting. - Oct. 2024: Journée de rentrée des doctorants, Strasbourg.
Topological data analysis as a new tool in neuroscience (poster). - March 2024: Statistics Seminar, Strasbourg.
Introduction à l'analyse topologique de données en statistique. - Feb. 2024: PhD Student Seminar, Strasbourg.
Estimation de sous-variété, d'espace tangent et de courbure.
Based on the article "Non-Asymptotic Rates for Manifold, Tangent Space and Curvature Estimation" by Eddie Aamari and Clément Levrard, 2019.