Seyed Mohammad Mahdi Alavi

This paper develops a closed-loop method for estimating the strength-duration curve using Fisher information optimization and compares it with uniform and random methods, finding it provides more accurate results.

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 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.

This paper proposes a novel input-output slope curve estimation method for neural stimulation that improves accuracy and efficiency compared to existing techniques.