Our goal is to enable more effective experimental science, in part by exploiting cloud-based services. Traditionally, the approach to doing better data-centric experimentation involves collecting data from collaborators, importing it, finding the appropriate file converters, visualizers, and tools, and installing everything on a local machine. Even worse, for large multi-TB datasets like high-resolution EEG data, this is a very slow and expensive proposition.
One of the most exciting developments in treating people with epilepsy, since the turn of the century, is a paradigm shift in our understanding of how epileptic seizures are generated. Rather than starting as abrupt, random events, new evidence suggests that seizure generation is probabilistic, with precursors that wax and wane before some synchronizing event triggers clinical seizures. This line of research has given rise to devices to warn of and pre-empt seizures, some now in clinical trials, and promises exciting therapeutic benefits to patients on the horizon.