Researchers report a convolutional neural network has been used to decode brain signals from EEG data. Scientists believe deep learning systems could be important tools for neuroscience analysis and could help revolutionize brain research.
Researchers propose a novel computational framework that uses artificial intelligence technology to disentangle the relationship between perception and memory in the human brain.
Researchers discover how the brain sorts out relevant and irrelevant sensory information during decision making processes.
Even without a concussion, repetitive impacts experienced by those who play contact sports have clear effects on the brain. Rugby players who reported no concussions had alterations in the microstructure of the brain, specifically in the brain stem. Alterations in the functional organization of the brain were also discovered in MRI images of those who played contact sports.
Researchers have trained neural networks to accelerate the reconstruction of neural circuits.
Models of the human brain, patterned on engineering control theory, could assist researchers control neurological diseases, according researcher who is using mathematical models of neuron networks from which more complex brain models emerge.
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A new convolutional neural network uses PET brain scans to detect biological signs of Alzheimer's disease years before the symptoms appear, researchers report.