Collins Anne G E相关文献与解析，生知库 | 链接生命科学的每一步

Striatal dopamine can enhance both fast working memory, and slow reinforcement learning, while reducing implicit effort cost sensitivity

纹状体多巴胺既能增强快速工作记忆，也能增强慢速强化学习，同时降低对内隐努力成本的敏感性。

Westbrook, Andrew; van den Bosch, Ruben; Hofmans, Lieke; Papadopetraki, Danae; Määttä, Jessica I; Collins, Anne G E; Frank, Michael J; Cools, Roshan

发表日期：2025

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Linking reinforcement learning, working memory, and choice dynamics to age and symptoms of anxiety and depression in adolescence

将强化学习、工作记忆和选择动力学与青少年年龄及焦虑和抑郁症状联系起来

期刊:Developmental Cognitive Neuroscience

影响因子:4.9

doi:10.1016/j.dcn.2025.101626

Frogner, Erik R; Dahl, Andreas; Kjelkenes, Rikka; Moberget, Torgeir; Collins, Anne G E; Westlye, Lars T; Pedersen, Mads L

Dual process impairments in reinforcement learning and working memory systems underlie learning deficits in physiological anxiety

强化学习和工作记忆系统的双重过程障碍是生理焦虑学习缺陷的根本原因。

期刊:PLoS Computational Biology

影响因子:3.6

doi:10.1371/journal.pcbi.1012872

Senta, Jennifer D; Bishop, Sonia J; Collins, Anne G E

发表日期：2025

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Nucleus accumbens dopamine release reflects Bayesian inference during instrumental learning.

伏隔核多巴胺释放反映了工具性学习过程中的贝叶斯推断

期刊:PLoS Computational Biology

影响因子:3.6

doi:10.1371/journal.pcbi.1013226

QÃ¼ Albert J, Tai Lung-Hao, Hall Christopher D, Tu Emilie M, Eckstein Maria K, Mishchanchuk Karyna, Lin Wan Chen, Chase Juliana B, MacAskill Andrew F, Collins Anne G E, Gershman Samuel J, Wilbrecht Linda

其它

发表日期：2025

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An algorithmic account for how humans efficiently learn, transfer, and compose hierarchically structured decision policies

一种解释人类如何高效学习、迁移和构建层级结构决策策略的算法

期刊:Cognition

影响因子:2.8

doi:10.1016/j.cognition.2024.105967

Li, Jing-Jing; Collins, Anne G E

发表日期：2025

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Fundamental processes in sensorimotor learning: Reasoning, refinement, and retrieval

感觉运动学习的基本过程：推理、完善和提取

期刊:Elife

影响因子:6.4

doi:10.7554/eLife.91839

Tsay, Jonathan S; Kim, Hyosub E; McDougle, Samuel D; Taylor, Jordan A; Haith, Adrian; Avraham, Guy; Krakauer, John W; Collins, Anne G E; Ivry, Richard B

发表日期：2024

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Artificial neural networks for model identification and parameter estimation in computational cognitive models

用于计算认知模型中的模型识别和参数估计的人工神经网络

期刊:PLoS Computational Biology

影响因子:3.6

doi:10.1371/journal.pcbi.1012119

Rmus, Milena; Pan, Ti-Fen; Xia, Liyu; Collins, Anne G E

神经科学

发表日期：2024

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Adolescent and adult mice use both incremental reinforcement learning and short term memory when learning concurrent stimulus-action associations

青少年和成年小鼠在学习同时发生的刺激-行为关联时，都会同时运用递增式强化学习和短期记忆。

期刊:PLoS Computational Biology

影响因子:3.6

doi:10.1371/journal.pcbi.1012667

Chase, Juliana; Xia, Liyu; Tai, Lung-Hao; Lin, Wan Chen; Collins, Anne G E; Wilbrecht, Linda

发表日期：2024

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Dynamic noise estimation: A generalized method for modeling noise fluctuations in decision-making

动态噪声估计：一种用于建模决策中噪声波动的通用方法

期刊:

影响因子:

doi:10.1101/2023.06.19.545524

Li, Jing-Jing; Shi, Chengchun; Li, Lexin; Collins, Anne G E

发表日期：2024

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A habit and working memory model as an alternative account of human reward-based learning

习惯和工作记忆模型作为人类基于奖励的学习的另一种解释

Striatal dopamine can enhance both fast working memory, and slow reinforcement learning, while reducing implicit effort cost sensitivity

纹状体多巴胺既能增强快速工作记忆，也能增强慢速强化学习，同时降低对内隐努力成本的敏感性。

Linking reinforcement learning, working memory, and choice dynamics to age and symptoms of anxiety and depression in adolescence

将强化学习、工作记忆和选择动力学与青少年年龄及焦虑和抑郁症状联系起来

Dual process impairments in reinforcement learning and working memory systems underlie learning deficits in physiological anxiety

强化学习和工作记忆系统的双重过程障碍是生理焦虑学习缺陷的根本原因。

Nucleus accumbens dopamine release reflects Bayesian inference during instrumental learning.

伏隔核多巴胺释放反映了工具性学习过程中的贝叶斯推断

An algorithmic account for how humans efficiently learn, transfer, and compose hierarchically structured decision policies

一种解释人类如何高效学习、迁移和构建层级结构决策策略的算法

Fundamental processes in sensorimotor learning: Reasoning, refinement, and retrieval

感觉运动学习的基本过程：推理、完善和提取

Artificial neural networks for model identification and parameter estimation in computational cognitive models

用于计算认知模型中的模型识别和参数估计的人工神经网络

Adolescent and adult mice use both incremental reinforcement learning and short term memory when learning concurrent stimulus-action associations

青少年和成年小鼠在学习同时发生的刺激-行为关联时，都会同时运用递增式强化学习和短期记忆。

Dynamic noise estimation: A generalized method for modeling noise fluctuations in decision-making

动态噪声估计：一种用于建模决策中噪声波动的通用方法