lecture 6 Flashcards
(22 cards)
prediction error
The difference
between what was predicted and
what actually occurred.
error-correction learning
A mathematical theory of learning that says the more surprising an outcome is, the more learning happens.
associative weight
a value representing the strength of
association between a conditioned
stimulus (CS) and an unconditioned
stimulus (US)
purkinje cell
A type of large, drop
shaped, and densely branching
neuron in the cerebellar cortex.
interpositus nucleus
one of the cerebellar deep nuclei
inferior olive
A nucleus of cells
with connections to the thalamus,
cerebellum, and spinal cord.
basal ganglia
A brain region that
lies at the base of the forebrain and
includes the dorsal striatum
ganglia
cluster of neurons
dorsal striatum
caudate nucleus + putamen, A region of the
basal ganglia that is important for
stimulus–response learning.
mossy fibers function
Transmit input signals for coordination and movement control
mossy fibers
nerve fibers that carry sensory and motor signals into the cerebellum to help coordinate movement.
predictive learning
learning to predict future outcomes from past experiences or data.
climbing fiber
a special wire in your brain that helps you learn how to move better.
rescorla wagner model
Learning happens when there’s a prediction error — when the outcome is surprising.
overshadowing
when two stimuli are presented together, but only the more noticeable (salient) one gets associated with the outcome.
blocking
when a previously learned CS prevents a new CS from being learned — even though they’re paired with the same US.
Pearce-Hall model
We pay more attention to stimuli when the outcome is surprising.
latent inhibtion
when prior exposure to a neutral stimulus (CS) without any consequence makes it harder to learn about it later.
Mackintosh model
We pay more attention to stimuli that are reliable predictors, and less attention to those that are poor predictors.
