Decoding the sleeping mind with AI
Flavio Jean Schmidig1, Yuval Nir2
1Department of Neuroscience and Brain Disorders, Gray Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel; Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel.
Neuron
|September 2, 2026
Abstract:
The sleeping brain processes memory-related semantic information, yet decoding such content remains challenging. Combining a large, openly shared sleep EEG dataset with neural contrastive learning, Chen et al.,1 in this issue of Neuron, establish a promising framework for non-invasive decoding of the sleeping human mind.
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