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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...
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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...
- classified. Broadly, this
allows classification of LTP into
Hebbian, non-
Hebbian, and anti-
Hebbian mechanisms.
Borrowing its name from Hebb's postulate, summarized...
- conditioning. The
Hebbian mechanisms contribute to
plasticity in the
lateral amygdala and fear learning.
Other modulators apart from the
Hebbian mechanisms include...
- The
generalized Hebbian algorithm, also
known in the
literature as Sanger's rule, is a
linear feedforward neural network for
unsupervised learning with...
-
stored patterns.
Patterns are ****ociatively
learned (or "stored") by a
Hebbian learning algorithm. One of the key
features of
Hopfield networks is their...
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reverse (
Hebbian learning),
while with the
opposite timing or in the
absence of a
closely timed presynaptic spike,
synapses were
weakened (anti-
Hebbian 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...
-
neuroscience and
machine learning, three-factor
learning is the
combinaison of
Hebbian plasticity with a
third modulatory factor to
stabilise and
enhance synaptic...
- Cajal,
separates plasticity into two more
broadly defined categories,
Hebbian plasticity, also
known as
homosynaptic plasticity, and
heterosynaptic plasticity...
