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Published on: March 17, 2019
Performance and feedback function on variable differential reinforcement of low rates: Tempus urgit vel abundat?
João Lucas Bernardy1, Matias Avellaneda2, Jéssica Bezerra Santiago1
1Department of Experimental Psychology, University of São Paulo, SP, Brazil.
The variable-differential-reinforcement-of-low-rates (VDRL) schedule creates temporal uncertainty, leading to structured waiting and responding behaviors in rats. This study reveals adaptive waiting strategies under VDRL, optimizing reinforcement through a response-wait trade-off.
Area of Science:
- Behavioral neuroscience
- Animal behavior studies
- Operant conditioning
Background:
- The variable-differential-reinforcement-of-low-rates (VDRL) schedule's impact on behavior is understudied.
- Temporal uncertainty is a key feature of VDRL schedules, influencing response patterns.
Purpose of the Study:
- To investigate rat behavior under a 10-s VDRL schedule.
- To analyze the temporal organization of responding and identify behavioral structures.
Main Methods:
- Utilized survival analysis of interresponse times to examine rat performance.
- Exposed ten rats to a 10-s VDRL schedule after baseline training.
- Evaluated the reinforcement feedback function (RFF) using a Hill-type function and computational modeling.
Main Results:
- Identified a consistent three-stage behavioral structure: within-bout responding, an intermediate waiting phase, and bout initiation.
- Observed sustained, imperfect response inhibition during the intermediate phase, indicating adaptive waiting.
- Demonstrated that longer pauses could enhance reinforcement rates, even with reduced overall responding, and showed close agreement between simulated and observed data.
Conclusions:
- VDRL schedules produce temporally structured behavior driven by a balance between responding and waiting.
- The findings support the use of computational models for estimating reinforcement feedback functions.
- Behavior under VDRL suggests adaptive strategies for managing temporal uncertainty.
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