The Handbook of Brain Theory and Neural Networks
The Handbook of Brain Theory and Neural Networks
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Electroencephalogram (EEG) dynamics results from the motion of charged particles in the brain. By invoking the laws of classical physics, we show that EEG dynamics obeys, at short enough times, a piece-wise quadratic Langevin equation characterized by an effective mass matrix, a piece-wise quadratic potential energy surface, a friction and random force matrix. In analyzing a sample seizure, we find with seizure onset a marked increase in the frequency of encounters with inflection points on the potential energy surface.