1527-Deep Learning Control of Human Visual Cortex Activity

Paper Talk · Sep 2, 2026 · 22m

This research introduces a deep learning framework designed to improve the performance of visual cortical prostheses by modeling and controlling neural activity in the human brain. Using data from a blind participant with a bidirectional brain implant, the authors developed a forward neural network to predict how electrical stimulation drives population responses while accounting for daily fluctuations in brain states. They implemented gradient-based optimization and inverse neural networks to synthesize stimulation patterns that precisely shape neural activity, outperforming traditional…