Marco Arieli Herrera-Valdez

The paper introduces a method to analyze physiological data with multiple non-independent observations, ensuring each subject is represented once and without distribution assumptions.

The paper introduces a mathematical framework to define action potential thresholds by analyzing the geometry of membrane potential trajectories, enabling a rigorous measure of excitability across different neuronal models.

The paper introduces a mathematical framework to define action potential thresholds by analyzing concavity changes in membrane potential trajectories, providing a rigorous measure of excitability across different biological systems.

This study uses biophysical models to show how varying Kv2.1 channel expression affects electrophysiological phenotypes through changes in phase plane geometry and bifurcation sequences.

This study develops a mathematical model to explore how cortisol rhythms affect glucose utilization and disease states like type 2 diabetes.