An interactive toolbox for standardizing, validating, simulating, reducing, and exploring detailed biophysical models that can be used to reveal how morpho-electric properties map to dendritic and ...

Dynamic networks are networks that vary over time; their vertices are often not binary and instead represent a probability for having a link between two nodes. Statistical approaches or computer ...

Abstract: This paper explores a novel class of event-triggered mechanisms for nonlinear systems utilizing output-feedback control. Initially, an output-feedback state observer is designed to estimate ...

A comprehensive Python-based application for advanced ECG signal analysis, PQRST peak detection, feature extraction, and arrhythmia classification using deep learning ...