
Explore recent findings on mean field theory applied to spiking neuron networks, presented by Romain Veltz from Inria Sophia Antipolis.

Explore spontaneous oscillations in excitatory neural networks through mean field analysis, uncovering insights into complex neuronal dynamics.

Explore new insights on multiple equilibria emergence in large, highly interactive ecosystems, focusing on theoretical advancements and practical implications.

Explore Bayesian phylogeography techniques for analyzing species distribution patterns using continuous spatial models and random walk sampling methods.

Explore ABC phylodynamics with Samuel Alizon, delving into advanced techniques for analyzing evolutionary dynamics of pathogens using phylogenetic data.

Explore how inferred epistasis improves neutral models of sequence evolution, enhancing understanding of evolutionary processes.

Explore the relationship between structure and function in microbial communities through a sparse mapping approach, uncovering key insights into complex ecological systems.

Explore ecological interactions, examining disorder and order in natural systems to gain insights into complex ecosystem dynamics.

Explore high-dimensional ecological communities and their interaction patterns, gaining insights into complex ecosystem dynamics and relationships.

Explore models and data on within-host ecological evolution, focusing on the interplay between theoretical frameworks and empirical findings.

Explore gravitational-wave background mapping techniques, current LIGO investigations, and future prospects for LISA in this advanced astrophysics presentation.

Explore advanced techniques in gravitational wave data analysis, focusing on signal processing and statistical methods for detecting and characterizing cosmic events.

Explore gravitational wave data analysis techniques, focusing on fundamental concepts and methodologies used in detecting and interpreting cosmic signals.

Explore solitary waves in virus-host co-evolution, uncovering dynamic interactions and evolutionary patterns in microbial ecosystems.

Explore stochastic algorithms in evolution with Harvard's Michael Desai, examining probabilistic processes shaping genetic changes and adaptations in populations.

Explore proteome allocation constraints and adaptive strategies in competitive microbial communities, focusing on coexistence models.

Explore Arnold's group-theoretic approach to ideal hydrodynamics and its applications to vortex sheets, fluids with moving boundaries, and multiphase fluids using Lie groupoid symmetries.

Explore the mathematical properties of black holes, focusing on their stability as solutions to Einstein's equation and recent proof of nonlinear stability for slowly rotating Kerr black holes.

Explore supersymmetry's mathematical origins and applications, from Atiyah-Singer formula to Jacobi-Poisson and Selberg trace formulas, in this advanced mathematics colloquium.

Explore supersymmetry's mathematical origins and applications, from Atiyah-Singer formula to Jacobi-Poisson and Selberg trace formulas, in this advanced mathematics colloquium.

Explore combinatorial approximations in fluid computation, featuring insights from Dennis Sullivan and Ruth Lawrence-Naimark in this geometry and analysis workshop.