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啮齿动物操作性学习中用于动作和价值信息的适应性回路。

Adaptive circuits for action and value information in rodent operant learning.

作者信息

Rios Alain, Fujita Kyohei, Isomura Yoshikazu, Sato Nobuya

机构信息

Department of Physiology and Cell Biology, Tokyo Medical and Dental University (TMDU), Japan.

Department of Physiology and Cell Biology, Tokyo Medical and Dental University (TMDU), Japan.

出版信息

Neurosci Res. 2025 May;214:62-68. doi: 10.1016/j.neures.2024.09.003. Epub 2024 Sep 26.

DOI:10.1016/j.neures.2024.09.003
PMID:39341460
Abstract

Operant learning is a behavioral paradigm where animals learn to associate their actions with consequences, adapting their behavior accordingly. This review delves into the neural circuits that underpin operant learning in rodents, emphasizing the dynamic interplay between neural pathways, synaptic plasticity, and gene expression changes. We explore the cortico-basal ganglia circuits, highlighting the pivotal role of dopamine in modulating these pathways to reinforce behaviors that yield positive outcomes. We include insights from recent studies, which reveals the intricate roles of midbrain dopamine neurons in integrating action initiation and reward feedback, thereby enhancing movement-related activities in the dorsal striatum. Additionally, we discuss the molecular diversity of striatal neurons and their specific roles in reinforcement learning. The review also covers advances in transcriptome analysis techniques, such as single-cell RNA sequencing, which have provided deeper insights into the gene expression profiles associated with different neuronal populations during operant learning.

摘要

操作性学习是一种行为范式,动物通过这种范式学会将自己的行为与后果联系起来,并据此调整行为。本综述深入探讨了啮齿动物操作性学习背后的神经回路,强调了神经通路、突触可塑性和基因表达变化之间的动态相互作用。我们研究了皮质-基底神经节回路,突出了多巴胺在调节这些通路以强化产生积极结果的行为方面的关键作用。我们纳入了近期研究的见解,这些研究揭示了中脑多巴胺神经元在整合动作发起和奖励反馈方面的复杂作用,从而增强了背侧纹状体中与运动相关的活动。此外,我们讨论了纹状体神经元的分子多样性及其在强化学习中的特定作用。本综述还涵盖了转录组分析技术的进展,如单细胞RNA测序,这些技术为操作性学习过程中与不同神经元群体相关的基因表达谱提供了更深入的见解。

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Adaptive circuits for action and value information in rodent operant learning.啮齿动物操作性学习中用于动作和价值信息的适应性回路。
Neurosci Res. 2025 May;214:62-68. doi: 10.1016/j.neures.2024.09.003. Epub 2024 Sep 26.
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