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Hebbian theory is a
neuropsychological theory claiming that an
increase in
synaptic efficacy arises from a
presynaptic cell's
repeated and persistent...
- classified. Broadly, this
allows classification of LTP into
Hebbian, non-
Hebbian, and anti-
Hebbian mechanisms.
Borrowing its name from Hebb's postulate, summarized...
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provide a
substrate for
Hebbian learning during development, or, as
suggested by
Taylor in 1973, the ****ociated
Hebbian and anti-
Hebbian learning rules might...
- In
neuroethology and the
study of learning, anti-
Hebbian learning describes a
particular class of
learning rule by
which synaptic plasticity can be controlled...
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Contrastive Hebbian learning is a
biologically plausible form of
Hebbian learning. It is
based on the
contrastive divergence algorithm,
which has been...
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observed by Kandel's
laboratory provide examples of
Hebbian theory. One
article describes the role of
Hebbian learning in the
Aplysia siphon-withdrawal reflex...
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Hebbian version of the Yerkes–Dodson law (this
version leaves out that
hyperarousal does not
adversely impact simple tasks). This
version is the most...
- The
generalized Hebbian algorithm (GHA), also
known in the
literature as Sanger's rule, is a
linear feedforward neural network for
unsupervised learning...
- Hebb's principle, that is,
neurons that fire
together wire together. In
Hebbian learning, the
connection is
reinforced irrespective of an error, but is...
- form by
Hebbian competition between axon terminals. The
ocular dominance columns look like
Turing patterns,
which can be
formed by
modified Hebbian mechanisms...
