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.