A team of researchers led by Kim Hong Ji and Woo Choong-Wan at the Center for Neuroscience Imaging Research (CNIR) within the Institute for Basic Science (IBS), in collaboration with Emily FINN at ...

In studies with monkeys, Johns Hopkins researchers report that they have uncovered significant new details about how the cerebellum—the "learning machine" of the mammalian brain—makes predictions and ...

Scientists have decoded visual images from a dog's brain, offering a first look at how the canine mind reconstructs what it sees. The Journal of Visualized Experiments published the research done at ...

The subjective, shifting nature of mood has long proved recalcitrant to brain-imaging technologies. In this issue, Sani et al. 1 overcome this roadblock for the first time with a report on a ...

A machine learning model can effectively predict a patient’s risk for a sleep disorder using demographic and lifestyle data, physical exam results and laboratory values, according to a new study ...

First, the data was independently segmented into quintiles (5 levels) for self-relevance and valence based on participant’s ratings. Next, time points (TRs) were assigned according to the levels of ...