To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...

An autonomous platform uses machine learning and patterned light to detect and terminate cardiac arrhythmias in real time without electrical shocks.

A growing body of research is converging on specific brain regions and networks that appear to generate conscious experience, from dreaming to waking awareness. Multiple independent lines of evidence ...