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* Armando Machado University of Minho, Portugal

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1 * 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

2 The Skinner box The microscope of learning psychologist

3 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

4 The pigeon’s sense of time

5 The scalar property

6 Retrospective Timing The Bisection Experiment
Red

7 Retrospective Timing The Bisection Experiment
Green

8 Retrospective Timing The Bisection Experiment
TRAINING TESTING

9

10 Scalar Expectancy Theory (SET)

11 SET and temporal bisection

12 SET and temporal bisection

13 SET and temporal bisection
Beta > 1 means a bias for Red;

14 Learning to Time (LeT) Signal Behavioral States X(t,n) Associative
Response Strengths R(t), G(t) Signal Associative Connections Wn

15 Behavioral States 1 2 Deterministic interpretation Stochastic
1 2 Deterministic interpretation Stochastic interpretation

16 Behavioral States 1 2

17 Associative Connections

18 Associative Connections

19 Response Strength

20 Learning to Time (LeT)

21 LeT and temporal bisection

22 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

23 Double Bisection Experiment 1

24 SET 1 s  Red 4 s  Green 4 s  Blue 16 s  Violet LeT

25 Predictions A context effect?
1 s  Red 4 s  Green 4 s  Blue 16 s  Violet

26 Data Yes, a context effect!
1 s  Red 4 s  Green 4 s  Blue 16 s  Violet

27 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

28 Double Bisection Experiment 2
Group 8: and 4-8 Group 16: 1-4 and 4-16 SET LeT

29 SET vs LeT vs Data Group 8 Group 16

30 LeT: Predictions vs Data

31 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?

32 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

33 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

34 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?

35 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

36 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

37 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

38 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.

39 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

40 Collaborators Paulo Rodrigues Marco Vasconcelos Paulo Pata
Joana Arantes Antonio Fidalgo Ana Paula Leite Paula Magalhães Richard Keen Ozlem Cevik Paulo Guilhardi

41

42 The full picture 1 s  Red 4 s  Green 4 s  Blue 16 s  Violet


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