ArticleFrontiers in behavioral neuroscience2014
Absence of "Warm-Up" during Active Avoidance Learning in a Rat Model of Anxiety Vulnerability: Insights from Computational Modeling.
Article in Frontiers in behavioral neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed, 13 citations in OpenAlex.
- Offline orbitofrontal cortex reactivation depends on recency of place-reward changes and coheres with hippocampal replay.iScience · 2024Article
- A reinforcement-learning model of active avoidance behavior: Differences between Sprague Dawley and Wistar-Kyoto rats.Behavioural brain research · 2020Article
- Improving Accuracy and Temporal Resolution of Learning Curve Estimation for within- and across-Session Analysis.PloS one · 2016Article
- Testing the role of reward and punishment sensitivity in avoidance behavior: a computational modeling approach.Behavioural brain research · 2015Article
- Using signals associated with safety in avoidance learning: computational model of sex differences.PeerJ · 2015Article
- Avoidance learning: a review of theoretical models and recent developments.Frontiers in behavioral neuroscience · 2015Review
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Avoidance behaviors, in which a learned response causes omission of an upcoming punisher, are a core feature of many psychiatric disorders. While reinforcement learning (RL) models have been widely used to study the development of appetitive behaviors, less attention has been paid to avoidance. Here, we present a RL model of lever-press avoidance learning in Sprague-Dawley (SD) rats and in the inbred Wistar Kyoto (WKY) rat, which has been proposed as a model of anxiety vulnerability. We focus on "warm-up," transiently decreased avoidance responding at the start of a testing session, which is shown by SD but not WKY rats. We first show that a RL model can correctly simulate key aspects of acquisition, extinction, and warm-up in SD rats; we then show that WKY behavior can be simulated by altering three model parameters, which respectively govern the tendency to explore new behaviors vs. exploit previously reinforced ones, the tendency to repeat previous behaviors regardless of reinforcement, and the learning rate for predicting future outcomes. This suggests that several, dissociable mechanisms may contribute independently to strain differences in behavior. The model predicts that, if the "standard" inter-session interval is shortened from 48 to 24 h, SD rats (but not WKY) will continue to show warm-up; we confirm this prediction in an empirical study with SD and WKY rats. The model further predicts that SD rats will continue to show warm-up with inter-session intervals as short as a few minutes, while WKY rats will not show warm-up, even with inter-session intervals as long as a month. Together, the modeling and empirical data indicate that strain differences in warm-up are qualitative rather than just the result of differential sensitivity to task variables. Understanding the mechanisms that govern expression of warm-up behavior in avoidance may lead to better understanding of pathological avoidance, and potential pathways to modify these processes.
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