Neurohackademy 2018: A wrap-up

It’s become something of a truism in recent years that scientists in many fields find themselves drowning in data. This is certainly the case in neuroimaging, where even small functional MRI datasets typically consist of several billion observations (e.g., 100,000 points in the brain, each measured at 1,000 distinct timepoints, in each of 20 subjects). … Continue reading Neurohackademy 2018: A wrap-up