PT - JOURNAL ARTICLE AU - Doyle, J. Andrew AU - Toussaint, Paule-Joanne AU - Evans, Alan C. TI - Amplifying the Neural Power Spectrum AID - 10.1101/659268 DP - 2019 Jan 01 TA - bioRxiv PG - 659268 4099 - http://biorxiv.org/content/early/2019/06/04/659268.short 4100 - http://biorxiv.org/content/early/2019/06/04/659268.full AB - We introduce a novel method that employs a parametric model of human electroen-cephalographic (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 log-arithmic and Gaussian magnitude responses. Presenting the first time domain evidence to validate an increasingly popular model for neural power spectra [1], we show that filtering out the 1/f background signal and selecting peaks improves a time-domain decoding experiment for visual stimulus of human faces versus random noise.