Generic mesoscopic neural networks based on
statistical mechanics of neocortical interactions
Lester Ingber
A series of papers has developed a statistical mechanics of
neocortical interactions (SMNI), deriving aggregate behavior of
experimentally observed columns of neurons from statistical
electrical-chemical properties of synaptic interactions, demon-
strating its capability in describing large-scale properties of
short-term memory and electroencephalographic (EEG) systematics.
This methodology also defines an algorithm to construct a mesos-
copic neural network (MNN), based on realistic neocortical
processes and parameters, to record patterns of brain activity
and to compute the evolution of this system. Furthermore, this
new algorithm is quite generic, and can be used to similarly pro-
cess information in other systems, especially, but not limited
to, those amenable to modeling by mathematical physics techniques
alternatively described by path-integral Lagrangians, Fokker-
Planck equations, or Langevin rate equations. This methodology
is made possible and practical by a confluence of techniques
drawn from SMNI itself, modern methods of functional stochastic
calculus defining nonlinear Lagrangians, Very Fast Simulated Re-
Annealing (VFSR), and parallel-processing computation.
The above preprint, in PostScript-compressed format, can be obtained
by anonymous ftp. To obtain this file from your local machine:
local% ftp ftp.umiacs.umd.edu
[local% ftp 128.8.120.23]
Name (ftp.umiacs.umd.edu:yourloginname): anonymous
Password (ftp.umiacs.umd.edu:anonymous): [type in yourloginname]
ftp> cd pub/ingber
ftp> binary
ftp> get mnn.ps.Z
ftp> quit
local% uncompress mnn.ps.Z
local% lpr [-P..] mnn.ps [to your PostScript laserprinter]
This prints out 8 pages.
If you do not have access to ftp, then send me an email request,
and I will email you a PostScript-compressed-uuencoded ascii file with
instructions on how to produce laserprinted copies, just requiring the
additional first step of 'uudecode file'. Sorry, but I cannot
take on the task of mailing out hardcopies of this paper.
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| Prof. Lester Ingber |
| ______________________ |
| Science Transfer Corporation |
| P.O. Box 857 703-759-2769 |
| McLean, VA 22101 ingber at umiacs.umd.edu |
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