Computational analysis of neural signals, brain imaging, connectivity, representation learning, and other forms of neuroscience data. The work can combine statistical methods, machine learning, signal processing, and computational modeling.
Machine learning and signal-processing methods for analyzing neural recordings and extracting meaningful temporal or spatial patterns.
Computational workflows for processing and analyzing electroencephalography and magnetoencephalography data.
AI and computational analysis of brain imaging data, including spatial features, patterns, segmentation, and predictive modeling.
Computational methods for learning representations of neural data and decoding behavioral, cognitive, or experimental variables.
Computational modeling of brain connectivity and spatiotemporal organization using network and machine learning methods.