EEG-to-fMRI Neuroimaging Cross Modal Synthesis in Python

Electroencepholography (EEG) and functional magnetic resonance imaging (fMRI) are two ways of recording brain activity; the former provides good time resolution but poor spatial resolution, while converse is true for latter. Recently, deep neural network models have been developed that can synthesize fMRI activity from EEG signals, vice versa. Because these generative simulate data, they make it easier neuroscientists to test ideas about how signals relate each other, what both tell us controls behavior. To researchers access models, standardize used, we a Python package, EEG-to-fMRI, which cross modal neuroimaging synthesis functionalities. This first open source software enabling synthesis. Our main focus this package help neuroscience, machine learning, health care communities. study gives an in-depth description along with theoretical foundations respective results.