Luis J. Gomez

This paper introduces Cable-BEM, a hybrid method for modeling neuronal responses to electric fields, showing it accurately captures bidirectional interactions with reduced computational cost.

The paper introduces a bidomain boundary element method for modeling electric fields in neurons and demonstrates its application to rat pyramidal neurons.

This paper designs and validates focal-deep TMS (fdTMS) coils that improve spatial targeting precision and depth of electric field stimulation compared to conventional figure-8 coils.

This paper introduces a bidomain boundary element method to model electromagnetic coupling in neurons, showing it is computationally efficient for simulating brain stimulation scenarios.

The paper develops a fast method to predict transcranial magnetic stimulation (TMS) electric field (E-field) across many coil placements using probabilistic matrix decomposition, achieving rapid and accurate predictions for population-level TMS applications.