Behavioral and Brain Sciences Commentary on
Toward a Quantitative Description of
Large-Scale Neo-Cortical Dynamic Function and EEG
by Paul Nunez
ABSTRACT: This paper focuses on how bottom-up neocortical models can
be developed into eigenfunction expansions of probability
distributions appropriate to describe short-term memory in the
context of scalp EEG. The mathematics of eigenfunctions are similar
to the top-down eigenfunctions developed by Nunez, albeit they have
different physical manifestations. The bottom-up eigenfunctions are
at the local mesocolumnar scale, whereas the top-down eigenfunctions
are at the global regional scale. However, as described in several
joint papers, our approaches have regions of substantial overlap, and
future studies may expand top-down eigenfunctions into the bottom-up
eigenfunctions, yielding a model of scalp EEG that is ultimately
expressed in terms of columnar states of neocortical processing of
attention and short-term memory.
Links to informations and utilities for compression/expansion and for
viewing and printing PostScript are in
http://www.ingber.com/Z_gz_ps_tar_shar.txt
Lester
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-- Lester Ingber <ingber@ingber.com> http://www.ingber.com/ <ingber@alumni.caltech.edu> http://www.alumni.caltech.edu/~ingber/