Optical sensing plays an integral part in the study of neuroscience by providing both structural information about the brain as well as functional information about the neural activity. Innovations in computational imaging have driven an increase in the number of tools that can help understand the
mechanisms of neural activity and communication. We build on this toolbox by adapting computational methods to improve signal recovery, capture information faster, and miniaturize microscopy systems toward implantable, long-term subcranial imaging. These newly developed methods can help acquire useful information for unlocking complex brain functions, advance cognitive assistive technology, and better understand neurodegenerative diseases.