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* Armando Machado University of Minho, Portugal
Temporal learning in animals: Empirical tests of two mathematical models of timing * Armando Machado University of Minho, Portugal Université Charles-de-Gaulle, Lille 3
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The Skinner box The microscope of learning psychologist
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Two models of timing Scalar Expectancy Theory (SET) Learning to Time (LeT) Critical tests: SET vs LeT Temporal Bisection Double Bisection Successes and Failures: what have we learned? The role of context Errorless learning and mediating behavior
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The pigeon’s sense of time
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The scalar property
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Retrospective Timing The Bisection Experiment
Red
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Retrospective Timing The Bisection Experiment
Green
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Retrospective Timing The Bisection Experiment
TRAINING TESTING
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Scalar Expectancy Theory (SET)
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SET and temporal bisection
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SET and temporal bisection
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SET and temporal bisection
Beta > 1 means a bias for Red;
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Learning to Time (LeT) Signal Behavioral States X(t,n) Associative
Response Strengths R(t), G(t) Signal Associative Connections Wn
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Behavioral States 1 2 Deterministic interpretation Stochastic
1 2 Deterministic interpretation Stochastic interpretation
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Behavioral States 1 2
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Associative Connections
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Associative Connections
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Response Strength
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Learning to Time (LeT)
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LeT and temporal bisection
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For the bisection task, SET and LeT make similar predictions
For the bisection task, SET and LeT make similar predictions. We need a new procedure to contrast the two models The Double Bisection task
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Double Bisection Experiment 1
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SET 1 s Red 4 s Green 4 s Blue 16 s Violet LeT
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Predictions A context effect?
1 s Red 4 s Green 4 s Blue 16 s Violet
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Data Yes, a context effect!
1 s Red 4 s Green 4 s Blue 16 s Violet
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Double Bisection Experiment 2
Group 8 1 s Red 4 s Green 4 s Blue 8 s Violet 1 s Red 4 s Green 4 s Blue 16 s Violet Group 16
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Double Bisection Experiment 2
Group 8: and 4-8 Group 16: 1-4 and 4-16 SET LeT
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SET vs LeT vs Data Group 8 Group 16
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LeT: Predictions vs Data
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Double Bisection Experiment 3
1 s Red 4 s Green 4 s Blue 16 s Violet Group “Consistent” Group “Inconsistent” 1 s Blue 16 s Green 1 s Green 16 s Blue How fast will the new discrimination be learned?
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LeT: Predictions vs data Group “Consistent”
1 s Red 4 s Green 4 s Blue 16 s Violet LeT: Predictions vs data Group “Consistent” 1 s Blue 16 s Green
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LeT: Predictions vs data Group “Inconsistent”
1 s Red 4 s Green 4 s Blue 16 s Violet LeT: Predictions vs data Group “Inconsistent” 1 s Green 16 s Blue
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Double Bisection Experiment 3
1 s Red 4 s Green 4 s Blue 16 s Violet Group “Consistent” Group “Inconsistent” 1 s Blue 16 s Green 1 s Green 16 s Blue 1 s Red s Green 4 s Blue 16 s Violet Which discrimination(s) will be disrupted?
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LeT: Predictions vs data Group “Consistent”
1 s Blue 16 s Green LeT: Predictions vs data Group “Consistent” 1 s Red 4 s Green 4 s Blue 16 s Violet
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LeT: Predictions vs data Group “Inconsistent”
1 s Green 16 s Blue LeT: Predictions vs data Group “Inconsistent” 1 s Red 4 s Green 4 s Blue 16 s Violet
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Conclusions SET and its memories LeT and the role of context
Failure of independence from alternatives LeT and the role of context Which key to peck after a signal Which key not to peck after a signal
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Current work LeT and the role of context Behavioral patterns
Errorless (temporal) learning? Behavioral patterns Structuring and restructuring of patterns during the time signal. Some videos of mediational(?), collateral(?) behavior.
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Behavioral patterns P689 P65 P68 1s: approaching keys
4s R-G and 4s B-Y: pecking 16 s: approaching keys, pecking, pausing, pecking P65 16sf: pecking and wing flapping; 16s: pecking and wing flapping ERROR; 38: pecking and wing flapping; P68 34 & 54: wall pecking and head-in-the-feeder
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Collaborators Paulo Rodrigues Marco Vasconcelos Paulo Pata
Joana Arantes Antonio Fidalgo Ana Paula Leite Paula Magalhães Richard Keen Ozlem Cevik Paulo Guilhardi
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The full picture 1 s Red 4 s Green 4 s Blue 16 s Violet
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