• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

响应选择中基于乙酰胆碱的熵:纹状体中间神经元如何调节决策中的探索、利用和响应变异性的模型。

Acetylcholine-based entropy in response selection: a model of how striatal interneurons modulate exploration, exploitation, and response variability in decision-making.

作者信息

Stocco Andrea

机构信息

Institute for Learning and Brain Sciences, University of Washington Seattle, WA, USA.

出版信息

Front Neurosci. 2012 Feb 6;6:18. doi: 10.3389/fnins.2012.00018. eCollection 2012.

DOI:10.3389/fnins.2012.00018
PMID:22347164
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3272653/
Abstract

The basal ganglia play a fundamental role in decision-making. Their contribution is typically modeled within a reinforcement learning framework, with the basal ganglia learning to select the options associated with highest value and their dopamine inputs conveying performance feedback. This basic framework, however, does not account for the role of cholinergic interneurons in the striatum, and does not easily explain certain dynamic aspects of decision-making and skill acquisition like the generation of exploratory actions. This paper describes basal ganglia acetylcholine-based entropy (BABE), a model of the acetylcholine system in the striatum that provides a unified explanation for these phenomena. According to this model, cholinergic interneurons in the striatum control the level of variability in behavior by modulating the number of possible responses that are considered by the basal ganglia, as well as the level of competition between them. This mechanism provides a natural way to account for the role of basal ganglia in generating behavioral variability during the acquisition of certain cognitive skills, as well as for modulating exploration and exploitation in decision-making. Compared to a typical reinforcement learning model, BABE showed a greater modulation of response variability in the face of changes in the reward contingences, allowing for faster learning (and re-learning) of option values. Finally, the paper discusses the possible applications of the model to other domains.

摘要

基底神经节在决策过程中发挥着重要作用。它们的作用通常在强化学习框架内进行建模,基底神经节学习选择与最高价值相关的选项,其多巴胺输入传达性能反馈。然而,这个基本框架没有考虑纹状体中胆碱能中间神经元的作用,也不容易解释决策和技能习得的某些动态方面,比如探索性动作的产生。本文描述了基于基底神经节乙酰胆碱的熵(BABE),这是一种纹状体中乙酰胆碱系统的模型,为这些现象提供了统一的解释。根据这个模型,纹状体中的胆碱能中间神经元通过调节基底神经节考虑的可能反应数量以及它们之间的竞争水平来控制行为的变异性。这种机制为解释基底神经节在某些认知技能习得过程中产生行为变异性的作用,以及在决策中调节探索和利用提供了一种自然的方式。与典型的强化学习模型相比,BABE在面对奖励偶然性变化时对反应变异性的调节更大,从而允许更快地学习(和重新学习)选项价值。最后,本文讨论了该模型在其他领域的可能应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2ca/3272653/2f5ad5745a92/fnins-06-00018-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2ca/3272653/c2c6dd4068f6/fnins-06-00018-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2ca/3272653/2f5ad5745a92/fnins-06-00018-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2ca/3272653/c2c6dd4068f6/fnins-06-00018-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2ca/3272653/2f5ad5745a92/fnins-06-00018-g005.jpg

相似文献

1
Acetylcholine-based entropy in response selection: a model of how striatal interneurons modulate exploration, exploitation, and response variability in decision-making.响应选择中基于乙酰胆碱的熵:纹状体中间神经元如何调节决策中的探索、利用和响应变异性的模型。
Front Neurosci. 2012 Feb 6;6:18. doi: 10.3389/fnins.2012.00018. eCollection 2012.
2
Actor-critic models of the basal ganglia: new anatomical and computational perspectives.基底神经节的 Actor-评论家模型:新的解剖学和计算视角。
Neural Netw. 2002 Jun-Jul;15(4-6):535-47. doi: 10.1016/s0893-6080(02)00047-3.
3
Dopaminergic Control of the Exploration-Exploitation Trade-Off via the Basal Ganglia.多巴胺能通过基底神经节对探索-利用权衡的控制。
Front Neurosci. 2012 Feb 6;6:9. doi: 10.3389/fnins.2012.00009. eCollection 2012.
4
Integration of reinforcement learning and optimal decision-making theories of the basal ganglia.整合强化学习与基底神经节的最优决策理论。
Neural Comput. 2011 Apr;23(4):817-51. doi: 10.1162/NECO_a_00103. Epub 2011 Jan 11.
5
Believer-Skeptic Meets Actor-Critic: Rethinking the Role of Basal Ganglia Pathways during Decision-Making and Reinforcement Learning.信徒-怀疑论者与行动者-评论家的相遇:重新思考基底神经节通路在决策和强化学习中的作用。
Front Neurosci. 2016 Mar 24;10:106. doi: 10.3389/fnins.2016.00106. eCollection 2016.
6
Striatal contributions to reward and decision making: making sense of regional variations in a reiterated processing matrix.纹状体对奖励和决策的贡献:理解重复处理矩阵中的区域差异
Ann N Y Acad Sci. 2007 May;1104:192-212. doi: 10.1196/annals.1390.016. Epub 2007 Apr 7.
7
Generalization of value in reinforcement learning by humans.人类在强化学习中的价值泛化。
Eur J Neurosci. 2012 Apr;35(7):1092-104. doi: 10.1111/j.1460-9568.2012.08017.x.
8
[A possible mechanism of participation of dopaminergic cells and striatal cholinergic interneurons in the conditioned selection of motor activity].多巴胺能细胞和纹状体胆碱能中间神经元参与运动活动条件性选择的一种可能机制
Zh Vyssh Nerv Deiat Im I P Pavlova. 2004 Nov-Dec;54(6):734-49.
9
Quantitative Imaging of Cholinergic Interneurons Reveals a Distinctive Spatial Organization and a Functional Gradient across the Mouse Striatum.胆碱能中间神经元的定量成像揭示了小鼠纹状体内独特的空间组织和功能梯度。
PLoS One. 2016 Jun 17;11(6):e0157682. doi: 10.1371/journal.pone.0157682. eCollection 2016.
10
A spiking Basal Ganglia model of synchrony, exploration and decision making.一个用于同步、探索和决策的脉冲式基底神经节模型。
Front Neurosci. 2015 May 27;9:191. doi: 10.3389/fnins.2015.00191. eCollection 2015.

引用本文的文献

1
A TAN-dopamine interaction mechanism based computational model of basal ganglia in action selection.一种基于棕褐色与多巴胺相互作用机制的基底神经节动作选择计算模型。
Cogn Neurodyn. 2024 Oct;18(5):2127-2144. doi: 10.1007/s11571-023-10046-0. Epub 2023 Dec 23.
2
A mismatch between striatal cholinergic pauses and dopaminergic reward prediction errors.纹状体胆碱能停顿与多巴胺能奖励预测误差不匹配。
Proc Natl Acad Sci U S A. 2024 Oct 8;121(41):e2410828121. doi: 10.1073/pnas.2410828121. Epub 2024 Oct 4.
3
Dopamine Neurons That Cotransmit Glutamate, From Synapses to Circuits to Behavior.

本文引用的文献

1
Neural systems analysis of decision making during goal-directed navigation.在目标导向导航过程中进行决策的神经系统分析。
Prog Neurobiol. 2012 Jan;96(1):96-135. doi: 10.1016/j.pneurobio.2011.08.010. Epub 2011 Sep 21.
2
Computational models for the combination of advice and individual learning.用于建议和个体学习相结合的计算模型。
Cogn Sci. 2009 Mar;33(2):206-42. doi: 10.1111/j.1551-6709.2009.01010.x.
3
Model-based influences on humans' choices and striatal prediction errors.基于模型的影响对人类选择和纹状体预测误差的影响。
多巴胺能神经元共传递谷氨酸,从突触到回路再到行为。
Front Neural Circuits. 2021 May 19;15:665386. doi: 10.3389/fncir.2021.665386. eCollection 2021.
4
The Avian Basal Ganglia Are a Source of Rapid Behavioral Variation That Enables Vocal Motor Exploration.鸟类基底神经节是快速行为变化的来源,使发声运动探索成为可能。
J Neurosci. 2018 Nov 7;38(45):9635-9647. doi: 10.1523/JNEUROSCI.2915-17.2018. Epub 2018 Sep 24.
5
Excitatory Dendritic Mitochondrial Calcium Toxicity: Implications for Parkinson's and Other Neurodegenerative Diseases.兴奋性树突线粒体钙毒性:对帕金森病及其他神经退行性疾病的影响
Front Neurosci. 2018 Aug 2;12:523. doi: 10.3389/fnins.2018.00523. eCollection 2018.
6
What does dopamine mean?多巴胺是什么意思?
Nat Neurosci. 2018 Jun;21(6):787-793. doi: 10.1038/s41593-018-0152-y. Epub 2018 May 14.
7
Heterogeneous Responses of Tonically Active Interneurons in the Dorsal Striatum.背侧纹状体紧张性活动中间神经元的异质性反应
J Neurosci. 2016 Mar 23;36(12):3412-3. doi: 10.1523/JNEUROSCI.0099-16.2016.
8
A cholinergic feedback circuit to regulate striatal population uncertainty and optimize reinforcement learning.一种调节纹状体群体不确定性并优化强化学习的胆碱能反馈回路。
Elife. 2015 Dec 25;4:e12029. doi: 10.7554/eLife.12029.
9
The role of opioid processes in reward and decision-making.阿片类物质机制在奖赏与决策中的作用。
Br J Pharmacol. 2015 Jan;172(2):449-59. doi: 10.1111/bph.12818.
10
δ-Opioid receptors in the accumbens shell mediate the influence of both excitatory and inhibitory predictions on choice.伏隔核壳中的δ阿片受体介导兴奋性和抑制性预测对选择的影响。
Br J Pharmacol. 2015 Jan;172(2):562-70. doi: 10.1111/bph.12731. Epub 2014 Jul 1.
Neuron. 2011 Mar 24;69(6):1204-15. doi: 10.1016/j.neuron.2011.02.027.
4
Centrality of striatal cholinergic transmission in Basal Ganglia function.纹状体胆碱能传递在基底神经节功能中的核心地位。
Front Neuroanat. 2011 Feb 7;5:6. doi: 10.3389/fnana.2011.00006. eCollection 2011.
5
Functional connectome of the striatal medium spiny neuron.纹状体中间神经元的功能连接组
J Neurosci. 2011 Jan 26;31(4):1183-92. doi: 10.1523/JNEUROSCI.3833-10.2011.
6
Heterogeneity and diversity of striatal GABAergic interneurons.纹状体 GABA 能中间神经元的异质性和多样性。
Front Neuroanat. 2010 Dec 29;4:150. doi: 10.3389/fnana.2010.00150. eCollection 2010.
7
Exploring the neural dynamics underpinning individual differences in sentence comprehension.探索句子理解个体差异背后的神经动力学。
Cereb Cortex. 2011 Aug;21(8):1747-60. doi: 10.1093/cercor/bhq241. Epub 2010 Dec 10.
8
Reconstructing the three-dimensional GABAergic microcircuit of the striatum.重建纹状体的三维 GABA 能微电路。
PLoS Comput Biol. 2010 Nov 24;6(11):e1001011. doi: 10.1371/journal.pcbi.1001011.
9
A computational model of how cholinergic interneurons protect striatal-dependent learning.胆碱能中间神经元保护纹状体依赖型学习的计算模型。
J Cogn Neurosci. 2011 Jun;23(6):1549-66. doi: 10.1162/jocn.2010.21523. Epub 2010 Jun 3.
10
States versus rewards: dissociable neural prediction error signals underlying model-based and model-free reinforcement learning.状态与奖励:基于模型和无模型强化学习的分离神经预测误差信号。
Neuron. 2010 May 27;66(4):585-95. doi: 10.1016/j.neuron.2010.04.016.