A maximum linear separation criterion for the analysis of neurophysiological data.

Abstract

In this paper we propose an approach for the extraction of features that differentiate two populations or two experimental conditions in a neurophysiological experiment. These features consist of summarizing variables defined as total activity (e.g., total normalized log-power), computed over sets of sites in a discrete domain, such as the time-frequency… (More)
DOI: 10.1016/j.jneumeth.2013.01.027

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