Latest Articles for Biological Systems

This article examines chaotic behavior in neuron models, focusing on the Rulkov neuron.

A new method estimates parameters of neuron activity using real data.

Introducing SMoRe GloS for better analysis of complex systems with agent-based models.

Learn how charged monomers combine to form larger clusters and their significance.

Study reveals how disordered active matter can show organization among particles.

This article discusses how physical learning can enable systems to adapt over time.

This article examines the smoothness of capillary surfaces and their mathematical properties.

Study reveals how combined neuron efforts enhance prediction abilities.

This article examines how randomness affects wave stability in reaction-diffusion systems.

Study reveals how active colloids mimic glassy materials under certain conditions.

This study investigates how two components interact to reach balance over time.

A look into how Boolean networks model biological interactions.

Examining how fluids behave in narrow spaces and their real-world applications.

A look into the behavior of systems influenced by time delays and fluctuations.

This article explores community detection and mutual information in networks.

A look into independent sets and their significance in graph theory.

Study reveals decision-making in tiny organisms for efficient swimming.

Two innovative methods offer insights into system aging and reliability.

Exploring how noise affects wave dynamics in biological systems through advanced models.

A look into performance-barrier event-triggered control in reaction-diffusion systems.

This research examines random walks on bifractal networks and their unique dynamics.

This study examines the Motsch-Tadmor model and its impact on flocking behavior.

This study reveals how neural networks can accurately remember and reproduce spike patterns under varied conditions.

Learn how to control tiny active particles efficiently and its implications for technology.

This research examines how localized interactions impact scalar fields in theoretical physics.

This method improves the solving of PDEs on surfaces that change shape over time.

A model reveals how bacterial patterns change during growth phases.

A look into graphs, their properties, and their impact on systems.

Examining the balance of time, cost, and error in thermodynamic processes.

Research improves cluster connectivity in community detection via Stochastic Block Models.

This study examines how polymers react in unique liquid crystal environments.

Study reveals how bacteria coordinate movements during hunting.

This article examines how noise and connections shape neuronal activity patterns.

A look into the behavior and importance of helical wormlike chains.

Learn how links form in networks through popularity and similarity.

A study of particle dynamics using the stochastic six-vertex model reveals key behaviors.

Compete to enhance particle detection in cryo-electron tomography images.

Boolean hypernetworks enhance our grasp of gene interactions by addressing limitations of traditional models.

Active droplets change behavior based on reactions, impacting emulsions in everyday products.

A fresh approach sheds light on how memory works in the brain and heart.