86
E.J. Brändas
Although it is too early to draw specific conclusions it is obvious that the Qfactor representation of the cell actually becomes more like a passive Q-switching
model. The synchronization of so-called spike trains may be examined in terms of
their Poissonian property, cf. Eq. (4.6), where classes of statistical distributions with
λ = l − 1 for l = 2, 3, . . . , m − 1; provides the necessary channel for communication. The somewhat ambiguous interpretation that free will, interpreted in its naïve
form, should be contradicted by incompatible time lags between increasing brain activity and its conscious perception in the cortex, does not appear here if one avoids
to conflate time as an evolving (generalized) observable with the various biological
time scales building up the actual organism under reasonable statistical conditions.
In fact the self-referential nature of our theoretical formulation, cf. the analogy between Gödel’s theorem(s) and multiple surface intersections in molecular chemical
physics, introduces decision making processes already working at the microscopic
level. Since communicative semiology, at various levels, with its basis in the fundamental idea of self-reference, produce teleodynamic encodings, then, irrespective
of the location of the spatio-temporal site for any decisions made, the only agent is
by definition the self!
A central question in cognitive neuroscience is the way the collection of neurons
combines external signals with internal memories. Although different in perspective, i.e. studying quantum aspects of chaotic neuron dynamics, Arecchi [46], did
put forward a novel conjecture in terms of homoclinic chaotic systems and studied
the problem mentioned above, also known as the Feature Binding Problem, finding
that mutual synchronizations of spike trains may contribute to well-defined perceptions. Homoclinic chaos then appears suitable for encoding of information of equal
spikes occurring at apparently erratic times via a given metric structure of a so-called
percept space, the latter displaying fundamental quantum features. Nevertheless the
conjecture, of great interest, is wanting in the verification of an explicit code.
In our model one might well anticipate expanding the encoding and decoding
processes to the appropriate regions in the cortex, viewing higher-level perceptions,
“codes of codes”, as an extended STN configuration in which it should be possible to
incorporate a more distinct gene-based definition of the reproductive “social gene”,
known as the meme, a notion coined as a concept for discussion by Dawkins [47].
For instance, the actual physical representation of an information processing capability in the brain leads to neural circuits in action and the question how e.g.
hippocampus processes sensory information. Neurons in the hippocampus register
information, not with respect to a single sensory attribute, or one of the five senses
individually, but more precisely, to a modality that depends on the synchronized information from several senses including spatial and temporal recognition. It is not
unreasonable to sanction the spatial map that maintains the unitary and subjective
nature of the conscious state, i.e. feature bindings via the present nesting of the
“codes of codes”.
In passing one note our attempts to find answers to the question, whether it is
possible to reduce biological explanations to chemistry and/or physics. In more detail we have tried to advance a positive response at the same time amalgamating the
systematic- and selectionist viewpoint. While pursuing natural selection to its basic
E.J. Brändas
Although it is too early to draw specific conclusions it is obvious that the Qfactor representation of the cell actually becomes more like a passive Q-switching
model. The synchronization of so-called spike trains may be examined in terms of
their Poissonian property, cf. Eq. (4.6), where classes of statistical distributions with
λ = l − 1 for l = 2, 3, . . . , m − 1; provides the necessary channel for communication. The somewhat ambiguous interpretation that free will, interpreted in its naïve
form, should be contradicted by incompatible time lags between increasing brain activity and its conscious perception in the cortex, does not appear here if one avoids
to conflate time as an evolving (generalized) observable with the various biological
time scales building up the actual organism under reasonable statistical conditions.
In fact the self-referential nature of our theoretical formulation, cf. the analogy between Gödel’s theorem(s) and multiple surface intersections in molecular chemical
physics, introduces decision making processes already working at the microscopic
level. Since communicative semiology, at various levels, with its basis in the fundamental idea of self-reference, produce teleodynamic encodings, then, irrespective
of the location of the spatio-temporal site for any decisions made, the only agent is
by definition the self!
A central question in cognitive neuroscience is the way the collection of neurons
combines external signals with internal memories. Although different in perspective, i.e. studying quantum aspects of chaotic neuron dynamics, Arecchi [46], did
put forward a novel conjecture in terms of homoclinic chaotic systems and studied
the problem mentioned above, also known as the Feature Binding Problem, finding
that mutual synchronizations of spike trains may contribute to well-defined perceptions. Homoclinic chaos then appears suitable for encoding of information of equal
spikes occurring at apparently erratic times via a given metric structure of a so-called
percept space, the latter displaying fundamental quantum features. Nevertheless the
conjecture, of great interest, is wanting in the verification of an explicit code.
In our model one might well anticipate expanding the encoding and decoding
processes to the appropriate regions in the cortex, viewing higher-level perceptions,
“codes of codes”, as an extended STN configuration in which it should be possible to
incorporate a more distinct gene-based definition of the reproductive “social gene”,
known as the meme, a notion coined as a concept for discussion by Dawkins [47].
For instance, the actual physical representation of an information processing capability in the brain leads to neural circuits in action and the question how e.g.
hippocampus processes sensory information. Neurons in the hippocampus register
information, not with respect to a single sensory attribute, or one of the five senses
individually, but more precisely, to a modality that depends on the synchronized information from several senses including spatial and temporal recognition. It is not
unreasonable to sanction the spatial map that maintains the unitary and subjective
nature of the conscious state, i.e. feature bindings via the present nesting of the
“codes of codes”.
In passing one note our attempts to find answers to the question, whether it is
possible to reduce biological explanations to chemistry and/or physics. In more detail we have tried to advance a positive response at the same time amalgamating the
systematic- and selectionist viewpoint. While pursuing natural selection to its basic