2 research outputs found

    Electroencephalographic field influence on calcium momentum waves

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    Macroscopic EEG fields can be an explicit top-down neocortical mechanism that directly drives bottom-up processes that describe memory, attention, and other neuronal processes. The top-down mechanism considered are macrocolumnar EEG firings in neocortex, as described by a statistical mechanics of neocortical interactions (SMNI), developed as a magnetic vector potential A\mathbf{A}. The bottom-up process considered are Ca2+\mathrm{Ca}^{2+} waves prominent in synaptic and extracellular processes that are considered to greatly influence neuronal firings. Here, the complimentary effects are considered, i.e., the influence of A\mathbf{A} on Ca2+\mathrm{Ca}^{2+} momentum, p\mathbf{p}. The canonical momentum of a charged particle in an electromagnetic field, Π=p+qA\mathbf{\Pi} = \mathbf{p} + q \mathbf{A} (SI units), is calculated, where the charge of Ca2+\mathrm{Ca}^{2+} is q=−2eq = - 2 e, ee is the magnitude of the charge of an electron. Calculations demonstrate that macroscopic EEG A\mathbf{A} can be quite influential on the momentum p\mathbf{p} of Ca2+\mathrm{Ca}^{2+} ions, in both classical and quantum mechanics. Molecular scales of Ca2+\mathrm{Ca}^{2+} wave dynamics are coupled with A\mathbf{A} fields developed at macroscopic regional scales measured by coherent neuronal firing activity measured by scalp EEG. The project has three main aspects: fitting A\mathbf{A} models to EEG data as reported here, building tripartite models to develop A\mathbf{A} models, and studying long coherence times of Ca2+\mathrm{Ca}^{2+} waves in the presence of A\mathbf{A} due to coherent neuronal firings measured by scalp EEG. The SMNI model supports a mechanism wherein the p+qA\mathbf{p} + q \mathbf{A} interaction at tripartite synapses, via a dynamic centering mechanism (DCM) to control background synaptic activity, acts to maintain short-term memory (STM) during states of selective attention.Comment: Final draft. http://ingber.com/smni14_eeg_ca.pdf may be updated more frequentl
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