Nonlocal Cahn-Hilliard-Hele-Shaw Systems
Explore nonlocal Cahn-Hilliard-Hele-Shaw systems in fluid dynamics, focusing on well-posedness, regularity, and comparisons with similar models. Gain insights into applications in porous media and tumor growth modeling.
Phase Separation in Active Brownian Particles
Explore models of active matter systems, focusing on motility-induced phase separation in self-propelled particles and the resulting macroscopic PDEs.
Instabilities and Geometry of Growing Epithelial Tissues
Explore instabilities and geometry in growing epithelial tissues, focusing on key concepts and recent research findings in this fascinating field of biophysics.
On the Stability of Oscillations in Rheological Models with Delay and Viscous Friction During Morphogenesis
Explore rheological models with delay and viscous friction in morphogenesis, analyzing stability and oscillations in embryonic tissues, particularly in Drosophila CNS development.
Fokker-Planck Equations of Neuron Networks: Understanding Time Periodic Solutions
Explore Fokker-Planck equations in neuron networks, focusing on time periodic solutions and their implications for neural dynamics.
The Non-Linear Dynamics of Retinal Waves
Explore the complex dynamics of retinal waves, uncovering their non-linear behavior and implications for visual system development.
Propagation of Chaos and Poisson Hypothesis for Replica Mean-Field Models
Explore propagation of chaos and Poisson hypothesis in replica mean-field models, delving into advanced statistical physics concepts.
Metastable Spiking Networks in the Replica-Mean-Field Limit
Explore metastable spiking networks in the replica-mean-field limit, focusing on advanced concepts in neural dynamics and statistical physics.
Time Averages of a Metastable System of Spiking Neurons
Explore metastable systems of spiking neurons and their time averages in this concise neuroscience lecture by Morgan André.
Recent Results on Mean Field Analysis of Spiking Neuron Networks
Explore recent findings on mean field theory applied to spiking neuron networks, presented by Romain Veltz from Inria Sophia Antipolis.
Spontaneous Oscillations in Pure Excitatory Mean Field Networks of Neurons
Explore spontaneous oscillations in excitatory neural networks through mean field analysis, uncovering insights into complex neuronal dynamics.
Parameters and Determinants of Responses to Selection in Antibody Libraries
Explore determinants of selection responses in antibody libraries, focusing on key parameters and their impact on library evolution and optimization.
New Perspectives on the Emergence of Multiple Equilibria in Large Highly Interacting Ecosystems
Explore new insights on multiple equilibria emergence in large, highly interactive ecosystems, focusing on theoretical advancements and practical implications.
Understanding Evolution on Multiple Scales: From Protein Physics to Population Genetics
Explore protein physics and population genetics to grasp evolution's multifaceted nature and combat drug resistance through integrated computational approaches.
Physical Constraints on Epistasis
Explore physical constraints on epistasis in biological systems, examining how interactions between genes influence evolutionary outcomes and phenotypic expression.
Building Microbial Communities from the Bottom Up
Explore bottom-up approaches to constructing microbial communities, examining assembly processes and interactions that shape complex ecosystems.
Control of Molecular Evolution
Explore molecular evolution control mechanisms and their impact on genetic diversity and adaptation in populations.
Emergence of a Simple Fitness Landscape from Integrated Phenotypic Networks
Explore how integrated phenotypic networks give rise to simple fitness landscapes, reconciling long-term trajectories and mutant fitness data.
Interaction Patterns in High-Dimensional Ecological Communities
Explore high-dimensional ecological communities and their interaction patterns, gaining insights into complex ecosystem dynamics and relationships.
Towards a Gravitational Wave Map of the Local Group of Galaxies
Explore gravitational wave mapping of the Local Group, uncovering insights into galactic structure and evolution through cutting-edge astrophysical research.
Lessons on the Equation of State from Binary Neutron Stars
Explore insights on neutron star equations of state derived from binary systems, enhancing understanding of extreme matter states in astrophysics.