Deep Learning–Based Control of Electrically Evoked Activity in Human Visual Cortex
A deep learning framework is presented that leverages a bidirectional cortical implant to causally shape stimulation-evoked population activity in the human visual cortex and provides a population-level foundation for linking microstimulation, cortical activity, and perception in the human visual system.