The human brain avoids taking unnecessary effort while reading by regulating the resources used in order to identify the most essential information.
A new model of the retina can predict the outcome of defined perturbation.
While machine learning technology is not too accurate at distinguishing between dance styles, when it comes to recognizing the personal style of dancers, it is 97% effective at determining who is who.
Inspired by techniques to train deep neural networks, researchers have proposed a new hypothesis of dreaming. The hypothesis suggests the strangeness of our dreams may help our brains better generalize our day-to-day experiences.
Researchers report science fiction fans are positive about the potential to upload consciousness, neurotech and digitizing the brain.
Researchers have created a new audio-visual model that harnesses the power of deep neural networks that can isolate and enhance speech under natural conditions.
Researchers have developed an open access browser that allows display, sharing and analysis of MRI data.
Researchers have identified a region of the thalamus that helps us switch between appropriate behavior required for different contexts.
Study shows a combination of human and artificial intelligence optimizes the prediction of mental health problems, including psychosis.
Combining advance microscopy techniques and artificial intelligence, researchers reconstruct the entire vascular network of a mouse brain down to its finest details.
Machine learning algorithms can effectively recognize patterns in a patient's neuroimaging data that are specific to rare forms of dementia, allowing for early diagnosis and monitoring of disease progression.
Study identifies 69 genes linked to increased autism risk, including 16 new genes previously not believed to be associated with ASD.