Documents de présentation
Dimensionality reduction techniques, such as PCA, t-SNE, and UMAP, are commonly used in various scientific fields to analyze high-dimensional data. These methods project the data onto a lower-dimensional embedding space, making it easier to visualize and analyze. In this conference presentation, I will discuss two different aspects of dimensionality reduction. First, I will present an...
Social interactions are a crucial aspect of behavior in human society and many animal species. Nonetheless, it is often difficult to distinguish the effect of interactions from independent animal behavior (e.g. non-Markovian dynamics, response to environmental cues, etc.). I will address this question in social mice, where we infer statistical physics models for the collective dynamics for...
Living organisms adapt their response to the environment through the perception of external physical stimuli, such as light or gravity. Understanding how organisms integrate environmental information to organize their behaviors is a fundamental question at all scales of life, from simple cells to group of organisms.
I propose a coherent framework for perceptual interactions coupling...
The immune response to an infection and to cancer is based on the ‘recognition’ of small portions of pathogen or cancer-related proteins (antigens) by cells of the immune system, for instance T cells. The specific binding of T-cell receptors (surface proteins of T cells) to antigens is the key step leading to effective immune responses. Identifying antigens that can be recognized by T cells,...
Cell lineage statistics is a powerful tool for inferring cellular parameters, such as division rate, death rate or the population growth rate. Yet, in practice such an analysis suffers from a basic problem: how should we treat incomplete lineages that do not survive until the end of the experiment? Here, we develop a model-independent theoretical framework to address this issue. This framework...
Animal movement exhibits multiple time scales: from the fine-scale movements of the limbs, to the behavioral sequences that result in different search strategies, all the way up to aging. Here, we hypothesize that the multiplicity of scales inherent to behavior effectively breaks ergodicity, preventing the system from reaching a steady state within experimental time scales. This motivates a...
