The code is part of a project aiming at using different machine learning methods to map functional magnetic resonance imaging (fMRI) data to associated emotions. The provided code gathers the ...

Nancy Kanwisher was granted access to the functional magnetic resonance imaging (fMRI) machine at the Massachusetts General Hospital. After making little headway using the nascent technology to ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

Lying inside a functional magnetic resonance imaging (fMRI) machine, study participants viewed objects projected onto a mirror above their heads, which looked like a small screen. The object—an ...

Students interested in neuroscience have access to the CMU-Pitt BRIDGE Center, which houses an fMRI machine. During their senior year, students can further build their research portfolio by completing ...

One current interest is in identifying the neural basis of concept representations using fMRI in the new area of neurosemantics. In collaboration with colleagues in the School of Computer Science, we ...

We’ve all experienced situations when hearing a song transports us back to when we first heard it or something we were doing ...

Brain Regions,fMRI Data,Effective Connectivity,Simulated Datasets,Deep Learning,Brain Networks,Convolutional Neural Network,Neural Network,Simulated Data,Time Series,Actor Network,Alzheimer’s Disease ...

He is also a Researcher with the Research Center for Brain–Computer Interfaces, Pazhou Lab, Guangzhou, China. His current research interests include brain signal analysis, brain-computer ...