Interactions Between Category Learning Systems
Matthew J. Crossley UC Berkeley
F. Gregory Ashby UC Santa Barbara
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Trial 1 Trial 2
Where do stimuli come from?
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Where do stimuli come from?
Thick & Shallow
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Where do stimuli come from?Thick & SteepThin & Steep
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Category Structures
Respond A if bars are thinRespond B if bars are thick
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Respond A if bars are steepRespond B if bars are shallow
Category Structures
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Respond A if bars are thin AND steepRespond B otherwise
Category Structures
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Category Structures
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Respond A if bars are steeper than they are thickRespond B otherwise
Category Structures
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Respond A if bars are thicker than they are steepRespond B otherwise
Category Structures
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Different Brain SystemsDeclarative Procedural
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Response remapping impairs procedural more than declarative learning
Train Transfer
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DeclarativeProcedural
Delaying feedback impairs procedural but not declarative
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Declarative
Procedural
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Does the procedural system learn during declarative control?
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Experiment 1: Train procedural categories with declarative strategies
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Experiment 1: Train II categories with RB control
Conditions to rule out innate difficulty differences
Procedural learning during declarative control?
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If procedural learning during declarative control:
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Results are consistent with procedural learning during declarative control
Parsed Training All II Training
Rotated impaired relative to congruent
No innate difficulty difference
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Parsed Training All II Training
Rotated impaired relative to congruent
No innate difficulty difference
Results are consistent with procedural learning during declarative control
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Hard to rule out rules75% correct!
If using rule 1
75% correct!If using rule 2
75% correct!If using rule 1
25% correct!If using rule 2
Rule 1 Rule 2
Rule 1 Rule 2
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Hard to rule out rules
~75% correct!If using rules
~50% correct!If using rules
Rule 1 Rule 2
Rule 1 Rule 2
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Hard to rule out rules
75% correct!If using rules
50% correct!If using rules
Hard to say if results reflect procedural learning or perseveration with rules
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How to rule out rules:Turn off procedural learning during training
See if results hold up
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Recall that delaying feedback impairs procedural but not declarative learning
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If procedural learning during declarative control:
Experiment 2 ResultsImmediate Feedback Delayed Feedback
Rotated impairment replicates
Rotated impairment disappears
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Looks like procedural learning during declarative control
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Category Learning Networks
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Category Learning Networks
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Category Learning Networks
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Category Learning Networks
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471.05/GGG21 - Savings in visuomotor adaptation depends on perturbation magnitude !
J. R. MOREHEAD, S. QASIM, M. CROSSLEY, R. B. IVRY; !
471. Voluntary Motor Control: Motor Learning II Mon, Nov 11, 1:00 - 5:00 PM
771.17/KKK10 - A temporal-difference dopamine-dependent spiking network account of instrumental contingency degradation
!M. J. CROSSLEY, F. ASHBY;
!771. Neural Mechanisms of Appetitive Behavior
Wed, Nov 13, 8:00 AM - 12:00 PM
842.19/VV19 - The difficulties of rapid switching between declarative and procedural learning systems
!J. L. ROEDER, M. J. CROSSLEY, G. CANTWELL, F. ASHBY;
!842. Human Navigation and Spatial Representation
Wed, Nov 13, 1:00 - 5:00 PM
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Thanks
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Immediate Feedback Delayed Feedback
Parsed Training All II Training
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Appropriate Control Conditions?
The issue is that we don’t know what size interference to expect from a rotation during transfer with pure II training.
This is a fair point. We know that pos and neg aren’t different from each other if left in isolation, but we can not rule out the possibility that there is an innate difference in the size of the rotation interference. However, Experiment 2 addresses this since we can make the difference disappear with FB delay.
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Appropriate Control Conditions?
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1) Procedural and declarative systems compete for control of motor resources, preventing trial-by-trial switching between procedural and declarative strategies under normal circumstances. !2) This competition can be reduced, and trial-by-trial switching facilitated, by incorporating explicit cues to signal which strategy is appropriate for a given stimulus. !3) Learning in the procedural system occurs even when the declarative system is in control of behavior. !4) computational cognitive neuroscience model M1 to striatal medium spiny neurons.
My abstract promised too much
No perfect terminology• Procedural vs declarative
• Information-Integration vs rule-based
• Habitual vs goal-directed
• Model-free vs model-based
• Implicit vs explicit
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