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.