A new machine learning algorithm can accurately determine whether a person heard a real or made-up word based on neuroimaging data.
From artificial intelligence to animals and people in comas, researchers evaluate different methods to test the presence of consciousness.
Human replay spontaneously reorganizes experience based on learned structure.
Researchers report a need for open, general purpose simulation engines that can run different models of the brain at different levels of biological detail.
Using MEG neuroimaging, researchers identify abnormalities in functional activity in brain regions which look structurally normal on conventional MRI scans. The findings could help with early detection of primary progressive aphasia.
MEG neuroimaging implicates the occipital place area (OPA) in our ability to rapidly sense our surroundings. The findings may advance improving machine learning and robotics technology aimed at mimicking visual processes in the human brain.
Neuroimaging study reveals veterans who suffered a mild traumatic brain injury (mTBI) have higher levels of fast, high-frequency gamma waves in the prefrontal and posterior parietal lobes, areas of the brain associated with consciousness, attention and problem-solving.
Taking a short rest following a learning activity to help strengthen memory consolidation.
Researchers have identified the neural processes that occur milliseconds before we execute a series of skilled movements.
Study reports people access fully detailed memories at different speeds and levels of detail, often accessing older information first. Findings could help developing treatments for those with PTSD, researchers say.
A new study reveals how the brain processes sound and how quickly neurons transition from processing the sound of speech to the language based words.
An international team of researchers have been able to demonstrate, with electrophysiological evidence, the existence of grid-like activity in the human brain.
