Brain connectivity is commonly studied in terms of causal interaction or
statistical dependency between brain regions. In this analysis paper, we draw
attention to the constraining effect the dynamics of fiber tract connections
may impose on neuronal signal traffic. We propose a model developed by Copelli
and Kinouchi (l.c.) for a different purpose to safeguard signal transmission
for brain connectivity by ensuring dynamic adaptation of signal reception to a
wide frequency range of traffic flow over connecting fiber tracts. Gap junction
connectivity would confer to neuronal groups the capacity of acting as
collectives for dynamical adaptability to impinging neural traffic thereby
forestalling traffic congestion and overload. It is suggested that applying this
model to signal reception in brain connectivity would deliver the required
functionality as a collective achievement of the interrelations between neurons
and gap junctions, the latter regulated by glia.
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