Researchers from three institutions, including the University of California, Santa Barbara, have discovered that AI holds the potential to make future visual prostheses (such as 'bionic eyes') more precise, predictable, and adaptable to individual differences. By utilizing a deep learning model, the researchers optimized the electrical stimulation patterns of 'bionic eyes' implanted in the brain's visual cortex, enhancing neural response control and visual perception prediction capabilities. This marks a significant step forward in developing visual cortex prostheses that can more effectively communicate with the brain. The related research has been published in the latest issue of the journal Neuron.