transparent brain-computer interfaces (BCIs)

: Brain–computer interfaces built from optically transparent electrode materials — typically graphene, a nanomaterial — so that electrical activity can be recorded at the same time the underlying brain tissue is observed through the device using optical imaging (such as two-photon microscopy). Because the array is see-through, researchers can pair surface electrical recordings with a direct optical view of deeper neural activity, and AI (machine-learning models) can learn the correlation between the two — predicting deep-brain activity from surface signals alone. The approach allows longer observation of a freely moving subject and may make future implants less invasive.

Related terms: brain–computer interface, hardware, artificial intelligence

Sources: Cami Rosso, “Transparent Brain-Computer Interface Uses AI and Nanotech,” Psychology Today, Jan 24 2024; Underlying study — Nature Nanotechnology