- ...MacLennan
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This paper will appear in
Self-Organization, Computational Maps and Motor Control,
ed. by Pietro G. Morasso and Vittorio
Sanguineti,
Elsevier-North Holland, in press.
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- ...networks.
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Specifically, they are Hilbert-Schmidt operators, to
which the following remarks apply.
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- ...r.
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Correlation can be defined relative to other kinds of
transformation besides displacement, and to other measures of
similarity besides the inner product;
see MacLennan (1994) for details.
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- ...function
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The Dirac delta is a ``generalized function'' that has the value zero
everywhere except at the origin, where it has the value infinity.
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- ...approach.
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See Section 6 for a discussion of some
representations and
MacLennan (1994) for example adaptive algorithms.
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- ...b.
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For a typical case shown in
Georgopoulos (1995, Fig. 32.1) and normalized vectors,
it appears 280#280 impulses/sec. and 281#281
impulses/sec.
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- ...saccade.
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This process may take place in the superior colliculus, frontal eye field or
posterior parietal cortex
(Droulez & Berthoz 1991b).
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- ...content,
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Gabor's notion of information is not the same as Shannon's;
they are complementary rather than mutually exclusive.
See MacLennan (1991) and citations therein for
a discussion.
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- ...Principle).
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The precise constant, 391#391 in this case, depends on the
quantification of the uncertainty of measurement
(MacLennan 1991).
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- ...cells.
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For technical reasons
(see MacLennan 1991),
these MN complex coefficients comprise only 2MN-M, as
opposed to 2MN, independent real coefficients.
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- ...phase.
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There is an additional complication in that the Gaussian
envelopes extend outside the nominal 415#415 (= standard
deviation) widths of the elementary function.
This could be solved by two or three banks of generators
activated in rotation; however a better solution lies in the
Gabor transform, discussed below.
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- ...generation).
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For a clear, insightful introduction to least action
principles, it is difficult to do better than
Feynman et al. (1963-5, ch. II.19).
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- ...computations.
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For example, least action principles are fundamental to
Pribram's (1991)
holonomic brain theory (see especially Apps. A, B).
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- ...amplitude.
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For this cancelation to occur, the impulses must be shaped so
that their average amplitude is zero.
Also, the neurons must sample sufficiently many paths coming
into their region to ensure that cancelation is possible;
in effect, the neural net must represent the search space
at sufficiently high resolution.
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