An artificial neural network has identified a potential mechanism for the impaired decision-making often seen in schizophrenia patients, which involves the reduced activity of NDMA receptors.
A novel AI system recognizes a neuron in microscope images of the brain more efficiently than any previous approach. The system improves current methods of tracing neurons and their connections, which can help improve brain mapping.
Combining EEG brain function data, brain-computer interface technology, and artificial intelligence, researchers have created a system that can generate an image of what a person is thinking.
Color emotion may be a universal phenomenon, a new study reveals. People from different parts of the world often associate the same color with the same emotions.
Combining machine learning with neuroprosthetic technology allowed a patient with paralysis to learn to control a computer cursor by utilizing brain activity without extensive daily retraining.
Personality traits, such as empathy and extraversion, could be predicted from specific network features. Other personality traits, lifestyle, and mental health status can be predicted from language use on social media platforms.
Researchers test machine learning algorithms to determine the metal workload and affective states of the human brain.
Deep layers of artificial neural networks can be edited to generate surprising and abstract images.
Novel artificial intelligence software can provide a precise assessment of the progression of geographic atrophy. The technology can also determine the integrity of photoreceptors and detect progressive degenerative changes beyond the main lessons asso…
Using data from MRI brain scan images, machine learning was 85% accurate at providing a diagnosis of psychiatric disorders that matched psychiatrists’ assessments. The algorithm could also distinguish between patients with ASD, schizophrenia, risk fact…