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AI brings object-level vision prosthetics closer to reality
Researchers at EPFL's NeuroAI Lab have developed AI-based topographic neural network models that predict optimal brain stimulation patterns to evoke perception of complex visual objects — such as faces and houses — rather than just simple light flashes. The models were validated in live trials on sighted monkeys in Amsterdam, showing that model-guided cortical stimulation can bias visual object perception in predictable ways. While the team cannot yet create object perception from scratch (without any visual input), this is the stated next goal. The approach could also extend to improving cochlear implants for auditory prosthetics.