Lecture 24. Sequence Learning Reading Assignment: Reprint
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1 Michael Arbib CS564 - Brain Theory and Artificial Intelligence, USC, Fall 2001. Lecture 24. Sequence Learning Michael Arbib: CS564 - Brain Theory and Artificial Intelligence University of Southern California, Fall 2001 Lecture 24. Sequence Learning Reading Assignment: Reprint Dominey, P.F., Arbib, M.A., and Joseph, J.-P., 1995, A Model of Corticostriatal Plasticity for Learning Associations and Sequences, J. Cog. Neurosci., 7:311-336.
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Michael Arbib: CS564 - Brain Theory and Artificial Intelligence University of Southern California, Fall 2001. Lecture 24. Sequence Learning Reading Assignment: Reprint - PowerPoint PPT Presentation
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1Michael Arbib CS564 - Brain Theory and Artificial Intelligence, USC, Fall 2001. Lecture 24. Sequence Learning
Michael Arbib: CS564 - Brain Theory and Artificial Intelligence
University of Southern California, Fall 2001
Lecture 24. Sequence Learning
Reading Assignment:ReprintDominey, P.F., Arbib, M.A., and Joseph, J.-P., 1995, A Model of Corticostriatal Plasticity for Learning Associations and Sequences, J. Cog. Neurosci., 7:311-336.
2Michael Arbib CS564 - Brain Theory and Artificial Intelligence, USC, Fall 2001. Lecture 24. Sequence Learning
3Michael Arbib CS564 - Brain Theory and Artificial Intelligence, USC, Fall 2001. Lecture 24. Sequence Learning
4Michael Arbib CS564 - Brain Theory and Artificial Intelligence, USC, Fall 2001. Lecture 24. Sequence Learning
5Michael Arbib CS564 - Brain Theory and Artificial Intelligence, USC, Fall 2001. Lecture 24. Sequence Learning
Visual Input
Posterior Parietal CxV4
FEF
Superior Colliculus
Thalamus (MD)
Caudate
SNr
Inferior Temporal Cortex
Noise
Reward
Behavior
Modifiable Synapses
"What"
Pathways leading to DA release
by SNc
"Where"
6Michael Arbib CS564 - Brain Theory and Artificial Intelligence, USC, Fall 2001. Lecture 24. Sequence Learning
7Michael Arbib CS564 - Brain Theory and Artificial Intelligence, USC, Fall 2001. Lecture 24. Sequence Learning
8Michael Arbib CS564 - Brain Theory and Artificial Intelligence, USC, Fall 2001. Lecture 24. Sequence Learning
9Michael Arbib CS564 - Brain Theory and Artificial Intelligence, USC, Fall 2001. Lecture 24. Sequence Learning
10Michael Arbib CS564 - Brain Theory and Artificial Intelligence, USC, Fall 2001. Lecture 24. Sequence Learning
11Michael Arbib CS564 - Brain Theory and Artificial Intelligence, USC, Fall 2001. Lecture 24. Sequence Learning
Visual-Oculomotor Conditional Learning
plus local peak of disinhibition
yields
from which winner-take-all selects the corresponding target
(a)
12Michael Arbib CS564 - Brain Theory and Artificial Intelligence, USC, Fall 2001. Lecture 24. Sequence Learning
But what if target positions are not fixed?
13Michael Arbib CS564 - Brain Theory and Artificial Intelligence, USC, Fall 2001. Lecture 24. Sequence Learning
14Michael Arbib CS564 - Brain Theory and Artificial Intelligence, USC, Fall 2001. Lecture 24. Sequence Learning
Visual Input
Posterior Parietal Cx
FEF
Simulation Environment
Reward
Behavior
Randomized trials
Prefrontal Cortex
Noise
Superior Colliculus
Thalamus (VA-MD)
Caudate
SNr Modifiable Synapses
15Michael Arbib CS564 - Brain Theory and Artificial Intelligence, USC, Fall 2001. Lecture 24. Sequence Learning
16Michael Arbib CS564 - Brain Theory and Artificial Intelligence, USC, Fall 2001. Lecture 24. Sequence Learning
17Michael Arbib CS564 - Brain Theory and Artificial Intelligence, USC, Fall 2001. Lecture 24. Sequence Learning
18Michael Arbib CS564 - Brain Theory and Artificial Intelligence, USC, Fall 2001. Lecture 24. Sequence Learning
19Michael Arbib CS564 - Brain Theory and Artificial Intelligence, USC, Fall 2001. Lecture 24. Sequence Learning
