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

Content Provider	Semantic Scholar
Author	Ingber, Lester
Copyright Year	2016
Abstract	Calculations further support 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 Π=p+qA (SI units) coupling, where p is the momenta of free Ca(2+) waves, q the charge of Ca(2+) in units of the electron charge, and A the magnetic vector potential of current 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 Ca(2+) waves.
Starting Page	144
Ending Page	152
Page Count	9
File Format	PDF HTM / HTML
DOI	10.1016/j.jtbi.2016.02.003
Alternate Webpage(s)	http://authors.library.caltech.edu/64625/1/1206.6286v6.pdf
Alternate Webpage(s)	https://www.ingber.com/smni16_large-scale_molecular.pdf
Alternate Webpage(s)	https://arxiv.org/pdf/1206.6286v6.pdf
Alternate Webpage(s)	http://www.ingber.com/smni16_large-scale_molecular.pdf
Alternate Webpage(s)	https://emmind.net/openpapers_repos/Endogenous_Fields-Mind/General/EM_Mind_other/2016_Statistical_mechanics_of_neocortical_interactions_Large-scale_EEG_influences_on_molecular_processes.pdf
Alternate Webpage(s)	http://arxiv.org/pdf/1206.6286v6.pdf
Alternate Webpage(s)	https://www.ingber.com/smni16_large-scale_molecular_EEGgraphs.pdf
PubMed reference number	26874226
Alternate Webpage(s)	https://doi.org/10.1016/j.jtbi.2016.02.003
Journal	Medline
Volume Number	395
Journal	Journal of theoretical biology
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article