Propagating Activity Patterns in Large-Scale Inhibitory Neuronal

Ron Blue rcb5 at MSN.COM
Fri Mar 27 23:48:50 EST 1998


Rinzel's  et al (1998) work may be interpreted to confirm the Correlational
Opponent-Processing model or COP theory at http://www.enticypress.com and
sheds further light on the dynamics of the underlying principles of the
Correlational Oppositional Ratio Enhanced processor (CORE processor) at
http://www.neutronicstechcorp.com.   Reciprocally inhibitory neural circuits
are now known to be a major characteristic of nervous systems which leads to
synchronized firing of large-scale networks.  The complex function of
disinhibition of principle projection neurons and the selective inhibition
of other interneurons suggest confirmation of correlational wavelet
opponent-processing of information.
The extremely slow propagation waves moving at ~ 1mm/s could be the
reference frequency suggested by COP theory and also reflects the slow clock
speed of 28 hertz in the CORE processor.  The non-smooth lurching manner of
the slow propagation represents the on-off and reverse charge polarity of
the timing clock in the CORE processor.  All information is given this time
to be integrated.
The post-inhibitory rebound properties in the network of the GABA coupled
cells is suggestive of the opponent wavelet.  Notice that a signal must be
maintained or consolidated then the neurons are released from inhibition are
transiently depolarized.  The individual neurons are likely to have been
significantly vectored by LTP or LTD to be event sensitive to current input.
The regenerative response is a negative wavelet confirmation and a negative
filter wavelet resulting in habituation.
For signals that are congruent or correlated the rebound signal will be
on-center and a spatial Gaussian footprint.  The inhibitory Gaussian signal
inversely mirrors the input signal as predicted by COP theory.  If the
signal is off center a diagonal side ways propagation, or a one tail
Gaussian projection may occur, or two parallel bimodial Gaussian
distributions may result.  The graphs produced by this model are suggestive
of the results generated in the research on oscillons and orthogonal
eigenfunctions.
The activity of the neuro circuit suggests the low speed and cyclic
summation of excitatory-inhibitory relationships working over a higher
effective frequency which again supports the COP model and the protocol used
in the CORE processor.
Off center diagonal propagation results in longer cluster-type firing in one
direction and smoother rebound in the nearest neighbor leading to successive
periodic global signaling.  This might reflect attention to a novel stimulus
that was not habituated by learning as suggested by the COP model.
Waves which approach eachother in opposite directions in the model in a
resting medium annihilate upon collision again supporting the COP model and
the operational protocol of the CORE processor.
To observe the rebound neuron requires a building integration time for
hyperpolarization.  Suggesting the past history of the system is critical
for understanding the process.  This confirms the underlying dynamics of the
CORE processor and the COP model.
Reference:
Rinzel, J.; Terman, D,; Wang, X. -J.; and Ermentrout, B.: (1998, February,
27): Propagating Activity Patterns in Large-Scale Inhibitory Neuronal
Networks.  Science, Vol 279, pg 1351-1354.










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