Behavioral microanalyses refine sign-tracking characterization and uncover different response dynamics during omission and extinction learning.

IF 1.8 4区 医学 Q4 NEUROSCIENCES
Learning & memory Pub Date : 2025-03-07 Print Date: 2025-03-01 DOI:10.1101/lm.054065.124
Erica S Townsend, Kyle S Smith
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引用次数: 0

Abstract

Sign-tracking, a conditioned response in which animals engage with reward-predictive cues, is a powerful behavioral tool for assessing Pavlovian motivation. In rodents, it is most frequently studied via automatic readouts, such as deflections of levers that act as reward cues. These readouts have been immensely helpful, but they may not be ideal for some tasks and paradigms. For example, animals can show a range of sign-tracking responses to a lever cue that do not result in lever deflection, and a reduction in deflections when animals are exposed to an omission contingency (i.e., when lever deflection cancels reward) hides the fact that the animals are still sign-tracking in other ways. Here, we analyzed the behavior of sign-tracking animals through both video monitoring and automatic task readouts in Pavlovian conditioning. This analysis aided in the classification of sign-tracking animals and revealed that lever deflections do not result from any identifiable pattern of sign-tracking. We then used omission and extinction procedures to unmask detailed behavior changes that can only be detected with video data. Automated readouts showed similar reductions of lever deflection in both task conditions. However, detailed behavioral analysis revealed quite distinct behavioral adaptations to these conditions with sign-tracking decreasing entirely during extinction while many sign-tracking behaviors (biting, sniffing, etc.) seemed to remain persistent during omission despite the decrease in deflections. Detailed behavioral analysis was thus critical for capturing sign-tracking maintenance, persistence, and loss.

行为微观分析细化了符号跟踪表征,揭示了遗漏和消失学习过程中不同的反应动力学。
符号追踪是动物参与奖励预测线索的一种条件反射,是评估巴甫洛夫动机的一种强大的行为工具。在啮齿类动物中,它最常通过自动读数来研究,比如作为奖励线索的杠杆的偏转。这些读数非常有帮助,但对于某些任务和范例来说,它们可能不是理想的。例如,动物可以对杠杆提示显示一系列不会导致杠杆偏转的信号跟踪响应,并且当动物暴露于遗漏偶然性时(即,当杠杆偏转取消奖励时),偏转的减少隐藏了动物仍然以其他方式进行信号跟踪的事实。在这里,我们通过视频监控和自动任务读数在巴甫洛夫条件下分析了符号跟踪动物的行为。这一分析有助于标记跟踪动物的分类,并揭示杠杆偏转不是由任何可识别的标记跟踪模式引起的。然后,我们使用省略和消除程序来揭示只能通过视频数据检测到的详细行为变化。自动读数显示,在两种任务条件下,杠杆偏转的减少相似。然而,详细的行为分析显示了对这些条件的明显的行为适应,在灭绝期间,符号跟踪完全减少,而在遗漏期间,许多符号跟踪行为(咬,嗅等)似乎仍然存在,尽管偏转减少。因此,详细的行为分析对于捕获标识跟踪维护、持久性和丢失是至关重要的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Learning & memory
Learning & memory 医学-神经科学
CiteScore
3.60
自引率
5.00%
发文量
45
审稿时长
6-12 weeks
期刊介绍: The neurobiology of learning and memory is entering a new interdisciplinary era. Advances in neuropsychology have identified regions of brain tissue that are critical for certain types of function. Electrophysiological techniques have revealed behavioral correlates of neuronal activity. Studies of synaptic plasticity suggest that some mechanisms of memory formation may resemble those of neural development. And molecular approaches have identified genes with patterns of expression that influence behavior. It is clear that future progress depends on interdisciplinary investigations. The current literature of learning and memory is large but fragmented. Until now, there has been no single journal devoted to this area of study and no dominant journal that demands attention by serious workers in the area, regardless of specialty. Learning & Memory provides a forum for these investigations in the form of research papers and review articles.
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