Characterizing the dynamic learning process: Implications of a quantitative analysis
Understanding the neural mechanisms involved in learning processes is crucial for unraveling the complexities of behavior and cognition. Sudden change from the untrained level to the fully-learned level is a pivotal feature of instrumental learning. However, the concept of change point and suitable...
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Veröffentlicht in: | Behavioural brain research 2024-04, Vol.463, p.114915, Article 114915 |
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container_title | Behavioural brain research |
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creator | Wu, Meilin Liu, Fuhong Wang, Hao Yao, Li Wei, Chunling Zheng, Qiaohua Han, Jing Liu, Zhiqiang Liu, Yihui Duan, Haijun Ren, Wei Sun, Zongpeng |
description | Understanding the neural mechanisms involved in learning processes is crucial for unraveling the complexities of behavior and cognition. Sudden change from the untrained level to the fully-learned level is a pivotal feature of instrumental learning. However, the concept of change point and suitable methods to conveniently analyze the characteristics of sudden change in groups remain elusive, which might hinder a fuller understanding of the neural mechanism underlying dynamic leaning process. In the current study, we investigated the learning processes of mice that were trained in an aversive instrumental learning task, and introduced a novel strategy to analyze behavioral variations in instrumental learning, leading to improved clarity on the concept of sudden change and enabling comprehensive group analysis. By applying this novel strategy, we examined the effects of cocaine and a cannabinoid receptor agonist on instrumental learning. Intriguingly, our analysis revealed significant differences in timing and occurrence of sudden changes that were previously overlooked using traditional analysis. Overall, our research advances understanding of behavioral variation during instrumental learning and the interplay between learning behaviors and neurotransmitter systems, contributing to a deeper comprehension of learning processes and informing future investigations and therapeutic interventions. |
doi_str_mv | 10.1016/j.bbr.2024.114915 |
format | Article |
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All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c305t-3dd500ea72f1837cee5a3e9a44b4c9978211c70064d490b8006ee323fdc6e26d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.bbr.2024.114915$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,777,781,3537,27905,27906,45976</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38368954$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wu, Meilin</creatorcontrib><creatorcontrib>Liu, Fuhong</creatorcontrib><creatorcontrib>Wang, Hao</creatorcontrib><creatorcontrib>Yao, Li</creatorcontrib><creatorcontrib>Wei, Chunling</creatorcontrib><creatorcontrib>Zheng, Qiaohua</creatorcontrib><creatorcontrib>Han, Jing</creatorcontrib><creatorcontrib>Liu, Zhiqiang</creatorcontrib><creatorcontrib>Liu, Yihui</creatorcontrib><creatorcontrib>Duan, Haijun</creatorcontrib><creatorcontrib>Ren, Wei</creatorcontrib><creatorcontrib>Sun, Zongpeng</creatorcontrib><title>Characterizing the dynamic learning process: Implications of a quantitative analysis</title><title>Behavioural brain research</title><addtitle>Behav Brain Res</addtitle><description>Understanding the neural mechanisms involved in learning processes is crucial for unraveling the complexities of behavior and cognition. Sudden change from the untrained level to the fully-learned level is a pivotal feature of instrumental learning. However, the concept of change point and suitable methods to conveniently analyze the characteristics of sudden change in groups remain elusive, which might hinder a fuller understanding of the neural mechanism underlying dynamic leaning process. In the current study, we investigated the learning processes of mice that were trained in an aversive instrumental learning task, and introduced a novel strategy to analyze behavioral variations in instrumental learning, leading to improved clarity on the concept of sudden change and enabling comprehensive group analysis. By applying this novel strategy, we examined the effects of cocaine and a cannabinoid receptor agonist on instrumental learning. Intriguingly, our analysis revealed significant differences in timing and occurrence of sudden changes that were previously overlooked using traditional analysis. 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Sudden change from the untrained level to the fully-learned level is a pivotal feature of instrumental learning. However, the concept of change point and suitable methods to conveniently analyze the characteristics of sudden change in groups remain elusive, which might hinder a fuller understanding of the neural mechanism underlying dynamic leaning process. In the current study, we investigated the learning processes of mice that were trained in an aversive instrumental learning task, and introduced a novel strategy to analyze behavioral variations in instrumental learning, leading to improved clarity on the concept of sudden change and enabling comprehensive group analysis. By applying this novel strategy, we examined the effects of cocaine and a cannabinoid receptor agonist on instrumental learning. Intriguingly, our analysis revealed significant differences in timing and occurrence of sudden changes that were previously overlooked using traditional analysis. 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subjects | Animals Behavioral analysis Cannabinoid system Cocaine Conditioning, Operant Insight Instrumental learning Mice Sudden change |
title | Characterizing the dynamic learning process: Implications of a quantitative analysis |
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