ArticleLearning & behavior2017
Interval timing under a behavioral microscope: Dissociating motivational and timing processes in fixed-interval performance.
Article in Learning & behavior, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Delineating anticipatory arousal from reward consumption: evaluating fixed-intervals in cocaine seeking-taking response chains.Psychopharmacology · 2025Article
- The temporal structure of goal-directed and habitual operant behavior.Journal of the experimental analysis of behavior · 2024Article
- Prior experience modifies acquisition trajectories via response-strategy sampling.Animal cognition · 2023Article
- Task-Dependent Effects of SKF83959 on Operant Behaviors Associated With Distinct Changes of CaMKII Signaling in Striatal Subareas.The international journal of neuropsychopharmacology · 2021Article
- Longer operant lever-press duration requirements induce fewer but longer response bouts in rats.Learning & behavior · 2021Article
- Internal-Clock Models and Misguided Views of Mechanistic Explanations: A Reply to Eckard & Lattal (2020).Perspectives on behavior science · 2020Article
- Logarithmic encoding of ensemble time intervals.Scientific reports · 2020Article
- A computational formulation of the behavior systems account of the temporal organization of motivated behavior.Behavioural processes · 2019Review
- Suppressive and enhancing effects of nicotine on food-seeking behavior.Behavioural brain research · 2018Article
- A Population-Based Model of the Temporal Memory in the Hippocampus.Frontiers in neuroscience · 2018Article
- Methods of comparing associative models and an application to retrospective revaluation.Behavioural processes · 2017Review
- A bout analysis of operant response disruption.Behavioural processes · 2017Article
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2 authors.
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Abstract
The distribution of latencies and interresponse times (IRTs) of rats was compared between two fixed-interval (FI) schedules of food reinforcement (FI 30 s and FI 90 s), and between two levels of food deprivation. Computational modeling revealed that latencies and IRTs were well described by mixture probability distributions embodying two-state Markov chains. Analysis of these models revealed that only a subset of latencies is sensitive to the periodicity of reinforcement, and prefeeding only reduces the size of this subset. The distribution of IRTs suggests that behavior in FI schedules is organized in bouts that lengthen and ramp up in frequency with proximity to reinforcement. Prefeeding slowed down the lengthening of bouts and increased the time between bouts. When concatenated, latency and IRT models adequately reproduced sigmoidal FI response functions. These findings suggest that behavior in FI schedules fluctuates in and out of schedule control; an account of such fluctuation suggests that timing and motivation are dissociable components of FI performance. These mixture-distribution models also provide novel insights on the motivational, associative, and timing processes expressed in FI performance. These processes may be obscured, however, when performance in timing tasks is analyzed in terms of mean response rates.
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