日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Functional reorganization of motor cortex connectivity during learning

学习过程中运动皮层连接的功能重组

Daie, Kayvon; Aitken, Kyle; Rózsa, Márton; Bull, Matthew S; Humphreys, Peter C; Wang, Ziheng Christina; Kinsey, Lucas; Kulkarni, Mohit; Stachenfeld, Kimberly L; Eckstein, Maria K; Kurth-Nelson, Zeb; Clopath, Claudia; Lillicrap, Timothy P; Botvinick, Matthew; Golub, Matthew; Mihalas, Stefan; Svoboda, Karel

A foundation model to predict and capture human cognition

用于预测和捕捉人类认知能力的基础模型

Binz, Marcel; Akata, Elif; Bethge, Matthias; Brändle, Franziska; Callaway, Fred; Coda-Forno, Julian; Dayan, Peter; Demircan, Can; Eckstein, Maria K; Éltető, Noémi; Griffiths, Thomas L; Haridi, Susanne; Jagadish, Akshay K; Ji-An, Li; Kipnis, Alexander; Kumar, Sreejan; Ludwig, Tobias; Mathony, Marvin; Mattar, Marcelo; Modirshanechi, Alireza; Nath, Surabhi S; Peterson, Joshua C; Rmus, Milena; Russek, Evan M; Saanum, Tankred; Schubert, Johannes A; Schulze Buschoff, Luca M; Singhi, Nishad; Sui, Xin; Thalmann, Mirko; Theis, Fabian J; Truong, Vuong; Udandarao, Vishaal; Voudouris, Konstantinos; Wilson, Robert; Witte, Kristin; Wu, Shuchen; Wulff, Dirk U; Xiong, Huadong; Schulz, Eric

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

Qü 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

Reasoning with programs in replay

利用回放程序进行推理

Veselic, Sebastijan; Mohsen, Nour; Luettgau, Lennart; Gutierrez, Elena; Eckstein, Maria K; Kennerley, Steven W; Behrens, Timothy E J; Muller, Timothy H; Kurth-Nelson, Zeb

Reinforcement learning and Bayesian inference provide complementary models for the unique advantage of adolescents in stochastic reversal

强化学习和贝叶斯推理为青少年在随机逆转方面的独特优势提供了互补的模型。

Eckstein, Maria K; Master, Sarah L; Dahl, Ronald E; Wilbrecht, Linda; Collins, Anne G E

Modeling changes in probabilistic reinforcement learning during adolescence

青少年时期概率强化学习变化的建模

Xia, Liyu; Master, Sarah L; Eckstein, Maria K; Baribault, Beth; Dahl, Ronald E; Wilbrecht, Linda; Collins, Anne Gabrielle Eva

What do Reinforcement Learning Models Measure? Interpreting Model Parameters in Cognition and Neuroscience

强化学习模型测量的是什么?认知和神经科学中的模型参数解读

Eckstein, Maria K; Wilbrecht, Linda; Collins, Anne G E

Computational evidence for hierarchically structured reinforcement learning in humans

人类层级结构强化学习的计算证据

Eckstein, Maria K; Collins, Anne G E

Distentangling the systems contributing to changes in learning during adolescence

理清导致青少年时期学习变化的各种系统

Master, Sarah L; Eckstein, Maria K; Gotlieb, Neta; Dahl, Ronald; Wilbrecht, Linda; Collins, Anne G E

Corrigendum to "Disentangling the systems contributing to changes in learning during adolescence" [Dev. Cogn. Neurosci. 41, 2020, 100732]

对“解开导致青少年学习变化的系统”的更正[Dev. Cogn. Neurosci. 41, 2020, 100732]

Master, Sarah L; Eckstein, Maria K; Gotlieb, Neta; Dahl, Ronald; Wilbrecht, Linda; Collins, Anne G E