Adversarial AI sims of the brain reveal consciousness mechanisms in Nature Neuroscience
alex_verem · x · 2026-11-10
A UCLA team (Daniel Toker, Martin Monti) published in Nature Neuroscience a generative adversarial AI framework: a consciousness detector trained on 680K+ neurophysiology samples (validated on 565 patients) pitted against interpretable neural field models producing biologically realistic simulated brains. The sims point to a basal ganglia pathway breakdown and abnormal inhibitory connectivity, and flag fast stimulation of the subthalamic nucleus as a candidate treatment — still awaiting clinical trials.
Related event: UCLA Uses Adversarial AI on Brain Signals to Unlock Consciousness Disorders(2 posts)→
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