Abstract:We introduce a novel method that employs a parametric model of human electroencephalographic (EEG) brain signal power spectra to evaluate cognitive science experiments and test scientific hypotheses. We develop the Neural Power Amplifier (NPA), a data-driven approach to EEG pre-processing that can replace current filtering strategies with a principled method based on combining filters with logarithmic and Gaussian magnitude responses. Presenting the first time domain evidence to validate an increasingly popula… Show more
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