2 research outputs found
Electroencephalographic field influence on calcium momentum waves
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 . The
bottom-up process considered are 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
on momentum, . The canonical
momentum of a charged particle in an electromagnetic field, (SI units), is calculated, where the charge of
is , is the magnitude of the charge of an
electron. Calculations demonstrate that macroscopic EEG can be
quite influential on the momentum of ions, in
both classical and quantum mechanics. Molecular scales of
wave dynamics are coupled with fields developed at macroscopic
regional scales measured by coherent neuronal firing activity measured by scalp
EEG. The project has three main aspects: fitting models to EEG
data as reported here, building tripartite models to develop
models, and studying long coherence times of waves in the
presence of due to coherent neuronal firings measured by scalp
EEG. The SMNI model supports a mechanism wherein the 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
Of nodes and cells. Two perspectives on (and from) Word Formation Latin
The LiLa: Linking Latin project involves the creation of a Knowledge
Base of linguistic resources for Latin based on the Linked Data
framework. The ultimate goal is to reach full interoperability on the web
between distributed lexical and textual resources. LiLa integrates all
types of annotation applied to a particular word/text into a common
representation where all linguistic information contained in a linguistic
resource becomes accessible. The LiLa Knowledge Base is thus a
collection of resources represented with a shared vocabulary of
(meta)linguistic knowledge description. The inclusion in the
Knowledge Base of information on word formation, extracted from the
Word Formation Latin lexical resource, raised a number of theoretical
and practical issues concerning its treatment and representation. This
paper discusses such issues, presents how they were addressed in the
project with the help and implementation of a Word Paradigm
theoretical model, and describes how the word formation data were
included in the LiLa ontology