New AI reads brain signals and predicts human behavior.
The new AI, developed by an international team with contributions from UCL, can translate raw data on brain activity.
The new technique could speed up the search for connections between brain activity and behavior.
The new development was created together with the Kavli Institute for Systems Neurobiology in Trondheim and the Max Planck Institute for Cognitive and Brain Sciences in Leipzig.
The authors have created a highly accurate neural network, a special type of deep learning algorithm that can decode many different types of behavior and stimuli from different areas of the brain.
Neuroscientists are recording more and more data from the brain, but understanding the information contained in this data, in other words, reading the neural code, is still a difficult problem.
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Marcus Frey, lead author of the study.
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