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Recent calculations further supports the premise that large-scale synchronousfirings of neurons may affect molecular processes. The context is scalpelectroencephalography (EEG) during short-term memory (STM) tasks. Themechanism considered is $\mathbf{\Pi} = \mathbf{p} + q \mathbf{A}$ (SI units)coupling, where $\mathbf{p}$ is the momenta of free $\mathrm{Ca}^{2+}$ waves$q$ the charge of $\mathrm{Ca}^{2+}$ in units of the electron charge, and$\mathbf{A}$ the magnetic vector potential of current $\mathbf{I}$ fromneuronal minicolumnar firings considered as wires, giving rise to EEG. Data hasprocessed using multiple graphs to identify sections of data to whichspline-Laplacian transformations are applied, to fit the statistical mechanicsof neocortical interactions (SMNI) model to EEG data, sensitive to synapticinteractions subject to modification by $\mathrm{Ca}^{2+}$ waves.

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