Quantum Theory of EEG with Application to the Single-Trial ERP Analysis

The probabilistic formalism of quantum mechanics is used to quantitatively link the electroencephalogram (EEG) with underlying microscale activity cortical neurons. Previous approaches applied methods classic physics reconstruct EEG in terms explicit physical models neurons and volume conductor. However, multiplicity cellular processes extremely intricate mixtures deterministic random factors prevented creation consistent biophysical parameter sets. To avoid uncertainty surrounding attributes neuronal ensembles, we undertake here a radical departure from equations classical reasoning mechanics. crucial step relocation elementary bioelectric sources molecular level. Using novel method time-frequency analysis adaptive segmentation for digital processing empirical single trial event related potentials (ERPs), found universal “building blocks” these both frequency time domains. This result qualified as phenomenon known statistical universality. Therationale that despite dramatic differences machineries, governed by central limit theorem produce waveform aggregate synchronized activities large ensembles closely located theoretical findings laws control machinery generating are deduced.