Author: Ingber L, Pappalepore M, Stesiak RR.
Affiliation:
Lester Ingber Research, Ashland, OR. Electronic address: ingber@alumni.caltech.edu.
Conference/Journal: J Theor Biol.
Date published: 2013 Nov 13
Other:
Pages: S0022-5193(13)00527-4 , Special Notes: doi: 10.1016/j.jtbi.2013.11.002 , Word Count: 269
Macroscopic electroencephalographic (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. The bottom-up process considered are Ca2+ 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 on Ca2+ momentum, p. The canonical momentum of a charged particle in an electromagnetic field, Π=p+qA (SI units), is calculated, where the charge of Ca2+ is q=-2e, e is the magnitude of the charge of an electron. Calculations demonstrate that macroscopic EEG A can be quite influential on the momentum p of Ca2+ ions, in both classical and quantum mechanics. Molecular scales of Ca2+ wave dynamics are coupled with 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 models to EEG data as reported here, building tripartite models to develop A models, and studying long coherence times of Ca2+ waves in the presence of A due to coherent neuronal firings measured by scalp EEG. The SMNI model supports a mechanism wherein the p+qA 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.
© 2013 Published by Elsevier Ltd. All rights reserved.
KEYWORDS:
Astrocytes, Neocortical dynamics, Short-term memory, Vector potential
PMID: 24239957