Analysing gamma-burst measure with kernel Independent Component Analysis for hippocampal EEG recordings

Application of Kernel independent component analysis as preprocessing for computing gammabursts on the spectrum of high-density electrophysiological LFP recordings over multiple sessions, to see if this can yield additional information on the synaptic origin of measured neural oscillations