Big Data in Electrophysiology

Experimental data from imaging and electrophysiology devices is flowing in at ever-increasing data rates. With chip-based technology, brain areas can be probed by thousands of electrodes capable of sampling data at microsecond intervals. Combined with techniques like optogenetics, video monitoring, and a variety of stimulating devices or environments, even a single experiment causes huge amounts of raw data to be recorded. And then?
This is the key question that neuroscience labs that embrace these new technologies are facing. The loop from hypothesis, experiment, results and new hypotheses can no longer be sustained by an individual experimentalist group, but rather needs to become part of larger frameworks in which high throughput analysis techniques play an essential role. In this workshop we highlight five topics that will motivate and inform us to take steps towards higher levels of informatics in neuroscience.

Program