A new brain wiring map reconstructs the entire shape and position of more than 300 neurons in the mouse brain.
Researchers at MIT have developed a new deep learning neural network that can identify speech patterns indicative of depression from audio data. The algorithm, researchers say, is 77% effective at detecting depression.
A new artificial neural network based on the human brain sheds light on how we process moving images.
Researchers say machine learning is up to 85% accurate at predicting the severity of small vessel disease, a condition associated with stroke and dementia.
Researchers speculate what the future may hold for artificial intelligence technologies, and us.
A new convolutional neural network uses PET brain scans to detect biological signs of Alzheimer's disease years before the symptoms appear, researchers report.
A new deep learning algorithm can interpret EEG data from preterm babies and estimate the child's brain functional maturity, researchers report.
Researchers have developed an artificial neural network that has been able to communicate with and learn human language.
Combining brain activity data with artificial intelligence, researchers generated faces based upon what individuals considered to be attractive features.
New findings about how the brain processes information in verbal working memory could have implications for the development of new AI systems, researchers report.
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.
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.
