new paper published in Cognitive Processes
argues that neuroscientists may need to look at brain activity from a new angle, in order to understand neural dynamics. According to the authors, David Alexander et al. of Leuven in Belgium,
A ubiquitous methodological practice in cognitive neuroscience is to obtain measure of brain activity by analyzing the time course of activity alone, or the spatial topography of activity alone. This usually results in throwing away most of the data as irrelevant: It is considered enough to analyze the time series at a site of interest, or to take spatial snapshots at some relevant times. This practice boils down to treating brain data as if it were space–time separable.
If a signal is 'space-time separable', this means in effect that one can hold either space or time constant, and then measure the other. For instance, in an EEG experiment, we typically consider ...
