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PRESENTER: What is
Hebbian learning,
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and why is it associated
with repetition learning?
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Imagine you've got two neurons,
neurons that are involved
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in you hitting a baseball.
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Hebbian learning is
pretty straightforward.
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It's based on the principle that
if this neuron fires and then
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this neuron fires, then
the neural connection
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between the two neurons is
strengthened, making them
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more likely to fire as a pair.
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Conversely, if this
neuron fires now
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but the second
neuron never fires,
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then the neural connection
is not strengthened,
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and thus these two
neurons are not
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likely to fire together again.
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That led Donald Hebb,
one of Canada's greatest
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neuroscientists, to propose the
statement that neurons that fire
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together wire together.
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Think of that in the context
of practicing a skill.
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Each time you execute the skill,
neurons are firing together,
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and those connections
are strengthened.
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This is actually why it's so
hard to change poor technique.
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The more you practice
with poor technique,
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the more those connections
get strengthened, thus
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making it harder to change.