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Published on: January 22, 2016
Giving time a chance in the midsession reversal task
Catarina Soares1, Carlos Pinto2, Armando Machado3
1School of Psychology, University of Minho, Gualtar Campus, 4710-057, Braga, Portugal. csoares@psi.uminho.pt.
Pigeons in a midsession reversal task primarily use timing to predict changes, but some employ counting or reinforcement strategies. Adjusting the intertrial interval (ITI) affects their performance, with timing being the dominant strategy observed.
Area of Science:
- Behavioral neuroscience
- Animal cognition
- Learning and memory
Background:
- The midsession reversal task assesses how animals learn and adapt to changing reinforcement contingencies.
- Pigeons often appear to time the reversal point in this task, leading to errors around the expected changeover trial.
Purpose of the Study:
- To investigate the role of timing versus other strategies (counting, contingency learning) in pigeons' performance on the midsession reversal task.
- To examine the effect of manipulating the intertrial interval (ITI) on the accuracy and timing of the reversal response.
Main Methods:
- Pigeons were trained on a midsession reversal task with a constant intertrial interval (ITI).
- Test sessions involved manipulating the ITI (doubling or halving) to observe effects on reversal trial performance.
- Additional tests included conditions with constant reinforcement or delayed reinforcement of one stimulus to probe strategy use.
Main Results:
- Most pigeons' performance remained consistent with timing strategies even when the ITI was altered.
- Halving the ITI did not consistently double the reversal trial, suggesting factors beyond simple timing may be involved.
- Some individual pigeons demonstrated strategies based on counting or reinforcement contingencies rather than pure timing.
Conclusions:
- While timing is a prevalent strategy in the midsession reversal task, its dominance can be influenced by factors like ITI manipulation and individual differences.
- The observed asymmetry in ITI effects suggests that novel cues or learning strategies can interact with or override simple temporal prediction.
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