Neural Networks, Brainwaves, And Ionic Structures:
A Biophysical Model For Conscious System Processing
Dejan Rakovic
Belgrade University,
Faculty of Electrical Engineering;
Gordana Vitaliano
Boston, MA
This revolutionary model implies that future computers may
exhibit true consciousness.
Abstract: It is shown that neural networks with embedded brainwaves
can
cross the gap between the fast parallel unconscious mode of neuroscience and
the slow serial conscious mode of psychology. The electromagnetic (EM) component
of extremely low frequency (ELF) brainwaves appears to enable perfect fitting
with the narrow limits of conscious capacity in normal awake states, and with
the very extended limits in altered states of consciousness; due to the biophysical
relativistic mechanism of a dilated subjective time base. It also enables the
mixing of normally conscious and unconscious contents in altered states, due
to the relativistic Doppler mapping of the EM component of the "objective"
ELF brainwave power spectrum onto the zero-degenerate frequency "subjective" one.
Therefore, the EM component of ELF brainwaves provides an extraordinary
basis for consciousness-like internal displays. As the rather complex, additional
low-dielectric, weakly ionized gaseous neural network is necessary in these
processes, it seems that biological compounds and structures will essentially
determine the further development of brain-like conscious computers and molecular
electronics.
1. Introduction
There is a curious traditional dichotomy between psychologists and neuroscientists.
Psychologists work with the slow, serial, and limited capacity component of
the nervous system, which is associated with consciousness and voluntary control;
while neuroscientists work with the fast, parallel "hardware" of the
nervous system, enormous in size and complexity, and unconscious in its detailed
functioning.
But what is the meaning of this dichotomy? It seems that such a dichotomy
is necessary to provide an "interface" between slow voluntary motoric
outputs, and fast, parallel, unconscious brain information processing.
How does a serial, slow, and relatively awkward level of functioning
emerge from a system that is enormous in size, relatively fast-acting, efficient,
and parallel? That is the key question which has been recently addressed by
Baars [1]. He has developed a very detailed cognitive model of consciousness,
proposing that the split between psychologists and neuroscientists in looking
at the nervous system reflects the global-workspace architecture.
Global-workspace represents a kind of working memory or central information
exchange, whose contents can be "broadcast" to the nervous system
of distributed modules as a whole, allowing many different specialized modules
in the brain to interact, competing or cooperating for access.
It should be pointed out that the purely biochemical mechanisms of the
extended reticular-thalamic activating system (ERTAS, serving as a major facilitator
of conscious experience; whereas the cortex of the brain is providing the content
of conscious experience) in the framework of Baars' cognitive model [1] cannot
be accelerated up to several orders of magnitude while in altered states, and
cannot account by itself for the changes in speed of information processing.
2. Model
A physical mechanism that can account for the extremely dilated subjective
time base in altered states is the relativistic one -- if only the "subjective" observer
can be associated with an EM component of brainwaves (and evoked potentials)
which can move through the brain with relativistic velocities.
Our theoretical model [2] implies that the electromagnetic (EM) component
of that oscillatory brain activity (ongoing (EEG) and evoked potentials (EPs),
i.e., brainwaves, can be closely related to global broadcasting associated with
consciousness.
However, it is necessary that complete information (both conscious and
unconscious) be permanently coded from neural networks into brainwaves; presumably
as brainwave spatiotemporal patterns of the brain's ionic structure. This presumed
process is a result of the temporal changes and activation of the synaptic interconnections
in the neural networks of the brain [3].
The insufficient change in the biochemical rate of neurotransmitter secretion
in altered states can be tested by positron emission tomography, or some other
metabolic-sensitive methods. This can demonstrate the insufficiency of purely
biochemical methods, and the necessity of adopting the proposed biophysical
method in explaining the striking acceleration of conscious information processing
in altered states of consciousness in comparison to normal ones.
This model fits perfectly with the restricted capabilities of conscious
processing capacity in the normal awake state (when brainwaves are predominantly
located in the brain tissue with a relative dielectric permittivity greater
than 2); and with the very extended limits in altered states of consciousness
(characterized by low-dielectric states with relative dielectric permittivity
approximately equal 1). In altered states of consciousness, the relative velocity
between the "objective" laboratory reference frame and the "subjective" one
is highly relativistic [2]. This effect is due to the biophysical relativistic
mechanism of dilatation of the subjective time base.
The biophysical nature of the low-dielectric structure [2] can be related
to a displaced (from the body) part of the ionic system which can conduct ELF
brainwave currents inside the conductive channels, with a tendency of deterioration
during a period of approximately one hour.
The detection of the low-dielectric ionic structure -- which is partly
displaced from the body in altered states of consciousness -- is possible by
monitoring local changes in the ionic concentration in the vicinity of the body
by using infrared image processing, microwave scattering, electro-photography,
positron emission tomography or some other isotope tracer studies.
This model also enables the mixing of normally conscious contents (predominantly
corresponding to gamma, beta, and alpha brainwave bands [4]) and unconscious
contents, corresponding to theta and delta bands [5]) in dream-like altered
states [6] -- and is due to the relativistic Doppler mapping of the EM component
of the "objective" ELF brainwave power spectrum onto the zero-degenerate
frequency "subjective" one.
So, one can state that there are two levels of information coding in
brain-like conscious neural networks: a) spatio-temporal level of information
coding (which is the only one available in contemporary artificial neural networks
[7]), and b) information coding at an extremely low frequency level (which also
exists in biological neural networks, and is responsible for conscious and unconscious
states, according to the model [2]).
The information encoding from neural networks to brainwaves can be tested
on artificial or biological neural networks with embedded ELF electric activity.
This testing procedure consists of a network learning some complex stimuli,
or a conditioned reflex in the case of living organisms. If this information
is simultaneously coded in ELF electric activity, it can be transferred to a
neighboring equivalent neural network due to electromagnetic induction coupling.
This transfer could demonstrate the possibility for neural network to brainwave
encoding, and vice versa.
3. Conclusion
Our biophysical analysis of the serial conscious psychological mode
in normal and altered states of consciousness implies as follows:
1) Brain-like conscious neural networks must have embedded ELF "brainwaves."
2) A complex ionic network (with the possibility of partial displacement
from the neural network, and subsequent deterioration) is necessary.
3) As such a non-organic neural network with these types of properties
is extremely difficult to fabricate, it seems that biological neural networks
are a necessity in the development of brain-like computers.
4) Such brain-like computers offer the possibility of information processing
at relativistic speeds.
Our biophysical model essentially determines that the further development
of molecular electronics lies in the direction of biological compounds and structures.
Such new components can provide an excellent basis for true conscious system
processing.
This model also provides the basis for understanding Psi phenomena, as we shall see in the next issue of 21st.
4. References
[1] B.J. Baars, A Cognitive Theory of Consciousness (Cambridge Univ.
Press, Cambridge, MA, 1988).
[2] D. Rakovic, D. Koruga, Z. Martinovic, and G. Stanojevic, On biophysical
structure of brain-like biocomputers, in P.I. Lazarev, ed., Molecular Electronics:
Materials and Methods (Kluwer, Dordrecht, The Netherlands, 1991).
[3] E.R. John, Switchboard versus statistical theories of learning and
memory, Science 177 (1972), pp.850-864; E.R. John, T. Yang, A.B. Brill, R. Young,
and K. Ono, Double-labeled metabolic maps of memory, Science 233 (1986), pp.
1167-1175.
[4] E. Basar, EEG Brain Dynamics (Elsevier, Amsterdam, 1980), Ch.2.
[5] D. Foulkes, Theories of dream formation and recent studies of sleep
consciousness, Psychol. Bulletin 62 (1964), pp. 236-247.
[6] In C. Tart, ed., Altered States of Consciousness (Academic, New York,
1972.
[7] R. Hecht-Nielsen, Neurocomputing (Addison-Wesley, New York, NY, 1990).
Copyright 1995, All Rights Reserved, Dejan Rakovic, Ph.D., and Gordana Vitaliano , MD.
21st, The VXM Network, https://vxm.com