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As previously remarked, Hopfield (1995) has proposed that in
some cases the information content of a spike train is encoded in
the phase of the impulses relative to some global or local
clock, whereas the impulse em rate reflects pragmatic factors,
such as the importance of the information. Phase-encoded fields
of this sort are a special case of what may be termed
information fields. An information field represents by virtue
of its form, that is, the relative magnitude and disposition of its
parts; its significance is a holistic property of the field. The
overall magnitude of the field does not contribute to its
meaning, but may reflect the strength of the signal and thereby
influence the confidence or urgency with which it is used. Thus
a physical field
may be factored
, where
is its magnitude and
is the (normalized)
information field, representing its meaning. Information fields
can be identified in the brain wherever we find information
processing that depends on the form of a field, but not its
absolute magnitude, or where the form is processed differently
from the magnitude. Information is inherently idempotent:
repeating a signal does not affect its semantics, although it may
affect its reliability, urgency and other pragmatic factors; the
idempotency of information was recognized by Boole in his
Laws of Thought. Of course, this independence of magnitude
also characteristic of the quantum field, which has led Bohm &
Hiley (1993) to characterize this field as active
information.
Next: Field Computing Hardware
Up: Field Computation in the
Previous: Diffusion Processes
Bruce MacLennan
10/31/1998