Arij Daou

The paper reformulates the Hodgkin-Huxley model using a Hill-based approach to map gating changes to neuronal excitability under limited kinetic data.

The paper shows that syllable-specific neurons in songbirds use post-inhibitory facilitation and persistent network activity to enable stimulus-specific combination sensitivity over extended timeframes.

The paper develops a biophysically grounded model of HVC network dynamics to explain how inhibition structures sparse sequential activity in songbirds.

The paper develops a biophysically realistic neural network model of the HVC in songbirds to study the mechanisms of stereotyped neural sequence propagation during song production.

This paper develops an explainable AI system for Alzheimer's disease severity classification using brain MRI and deep learning, achieving high accuracy and interpretability through XRAI and a web-based interface.

This study uses the Hodgkin-Huxley model to analyze how temperature changes affect neuronal firing patterns and excitability through bifurcation analysis.

This study analyzes how temperature changes affect neuronal firing patterns using the Hodgkin-Huxley model, revealing bifurcation shifts and excitability changes.