The brain's ability to use approximate probabilistic inference can not be studied by simple tasks that are not well suited to expose the inferential computations that make the brain special, researchers say.
Researchers created a computer model based on direct brain recordings from epilepsy patients and discover the existence of a network of neural regions directly involved in seizures.
McGill University researchers have developed a deep learning algorithm capable of detecting signatures of dementia in patients two years before the onset of symptoms by reviewing a single PET brain scan.
Researchers propose the human brain is disproportionately large as a result of sizing one another up in large cooperative social groups.
Researchers have developed a prediction model that can warn of an epileptic seizure up to 20 minutes in advance.
A new algorithm is able to predict future terror attacks by recognizing patterns from past attacks.
A new study reports researchers have successfully created a biologically realistic math model which captures how the brain learns and makes complex decisions.
A new study reports highly creative people appear to have more connections between their brain hemispheres.
A new study considers how thoughts take shape in the brain.
A new artificial neural network can assess a viewer's reaction to movies based on patterns of facial expressions. With enough information, researchers say the ANN will be able to assess how an audience is reacting to a movie and predict an individual's response based on a few minutes of observation.
Researchers take inspiration from the developing brain to create improved computer algorithms.
Teams of data scientists use crowdsourcing to analyze recordings of electrical activity in the brains of people and dogs before and during seizures.
