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Effects of retention interval on performance in a numerical reproduction task
1University of Canterbury, Department of Psychology, Private Bag 4800, Christchurch, New Zealand. lct29@student.canterbury.ac.nz
Behavioural Processes
|February 5, 2008
Summary
Researchers studied how delays in memory tasks affect pigeons' responses. Increased delays led to more responses for larger numbers, a "produce-large" effect, suggesting memory disruptions.
Area of Science:
- Animal Cognition
- Behavioral Neuroscience
- Comparative Psychology
Background:
- Numerical reproduction tasks in animals explore memory and cognitive processes.
- Previous research suggests a "choose-short/small" effect, where shorter retention intervals (RI) lead to choosing smaller numbers.
- The impact of extended retention intervals on numerical reproduction remains less understood.
Purpose of the Study:
- To investigate if increasing the retention interval (RI) in a numerical reproduction task with pigeons elicits a "produce-small" effect.
- To examine the relationship between retention interval duration and numerical response patterns in pigeons.
Main Methods:
- Four pigeons were trained on a numerical reproduction task with a 2-second retention interval.
- Pigeons were subsequently tested with varied retention intervals of 0.5 seconds and 8 seconds.
- Response numbers and accuracy were analyzed across different retention intervals and sample stimuli.
Main Results:
- A number-dependent, "produce-large" effect was observed: response numbers increased with longer retention intervals.
- The retention interval significantly impacted responding, particularly on 2-flash trials with an 8-second RI.
- Discrimination accuracy between trial types decreased as the retention interval increased.
Conclusions:
- The findings contradict the "choose-short/small" effect and support a "produce-large" effect in this context.
- The "produce-large" effect may result from a disruption in stimulus control over responding due to extended retention intervals.
- This study highlights the complex influence of memory delays on numerical cognition in non-human animals.

