
Explore complex spatial topology's impact on evolutionary dynamics, examining mode and tempo in diverse environments.

Explore nonlocal reaction-diffusion equations modeling adaptation dynamics in multi-patch environments. Analyze persistence, extinction, and the impact of migration and host addition on fitness.

Explore a novel methodology combining major locus and quantitative background effects in migration-selection balance, revealing complex genetic architecture patterns and unexpected polymorphism loss.

Explore a neural mass model examining abnormal beta-rebound in schizophrenia, presented by experts from the University of Nottingham at Institut Henri Poincaré.

Explore neural assemblies through a multiple time renewal equation, focusing on the elapsed time model and its implications for understanding brain dynamics.

Explore Fokker-Planck equations in neuron networks, focusing on time periodic solutions and their implications for neural dynamics.

Explore the complex dynamics of retinal waves, uncovering their non-linear behavior and implications for visual system development.

Explore noise-driven bifurcations in neural field systems, focusing on grid cell network modeling and their implications for spatial navigation.

Explore projection techniques for analyzing complex neurobiological networks, focusing on applications in neuroscience research and computational modeling.

Explore metastable spiking networks in the replica-mean-field limit, focusing on advanced concepts in neural dynamics and statistical physics.

Explore metastable systems of spiking neurons and their time averages in this concise neuroscience lecture by Morgan André.

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

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

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