Adam Mahdi

This paper develops a real-time closed-loop method for estimating neural activation dynamics and input-output curves using transcranial magnetic stimulation, showing improved accuracy over conventional methods.

This paper develops a formalism for real-time sequential estimation of neural membrane time constant and input-output curve using transcranial magnetic stimulation, showing improved accuracy with optimal sampling.

This study shows that bumblebee gustatory receptor neurons encode sugar value through distinct temporal firing patterns, revealing specialized mechanisms for detecting nutritional and toxic sugars.

This paper introduces a tool for automatically tuning pulse amplitude and width in EMG-guided cTMS to estimate membrane time constants and input-output curves using Fisher information matrix and normalized depolarization factor maximization.