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Deep neural networks uncover what the brain likes to see

November 4, 2019
Artificial Intelligence Neuroscience Visual Processing
Basic Research
Grantee
An illustration of a human brain with stimulated neurons.

Researchers at Baylor College of Medicine and the University of Tübingen in Germany have developed a novel computational approach to finding stimuli that neurons in the brain ‘like.’ They built deep artificial neural networks that can accurately predict the neural responses produced by a biological brain to arbitrary visual stimuli.

Read more at Baylor College of Medicine
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