Statistical mechanics of neocortical interactions: large-scale EEG influences on molecular processes

Recent calculations further supports the premise that large-scale synchronous firings of neurons may affect molecular processes. The context is scalp electroencephalography (EEG) during short-term memory (STM) tasks. The mechanism considered is $\mathbf{\Pi }=\mathbf{p}+q\mathbf{A}$ (SI units) coupling, where $\mathbf{p}$ is the momenta of free ${\mathrm{C}\mathrm{a}}^{2+}$ waves $q$ the charge of ${\mathrm{C}\mathrm{a}}^{2+}$ in units of the electron charge, and $\mathbf{A}$ the magnetic vector potential of current $\mathbf{I}$ from neuronal minicolumnar firings considered as wires, giving rise to EEG. Data has processed using multiple graphs to identify sections of data to which spline-Laplacian transformations are applied, to fit the statistical mechanics of neocortical interactions (SMNI) model to EEG data, sensitive to synaptic interactions subject to modification by ${\mathrm{C}\mathrm{a}}^{2+}$ waves.