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Anne Gabrielle Eva Collins
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2020 – today
- 2024
- [j9]Milena Rmus
, Ti-Fen Pan
, Liyu Xia, Anne G. E. Collins:
Artificial neural networks for model identification and parameter estimation in computational cognitive models. PLoS Comput. Biol. 20(5): 1012119 (2024) - [j8]Juliana Chase, Liyu Xia, Lung-Hao Tai, Wan Chen Lin, Anne G. E. Collins, Linda Wilbrecht:
Adolescent and adult mice use both incremental reinforcement learning and short term memory when learning concurrent stimulus-action associations. PLoS Comput. Biol. 20(12): 1012667 (2024) - [c10]Gaia Molinaro, Cédric Colas, Pierre-Yves Oudeyer, Anne Collins:
Latent Learning Progress Drives Autonomous Goal Selection in Human Reinforcement Learning. NeurIPS 2024 - [i2]Ti-Fen Pan, Jing-Jing Li, Bill Thompson, Anne Collins:
Latent Variable Sequence Identification for Cognitive Models with Neural Bayes Estimation. CoRR abs/2406.14742 (2024) - [i1]Jing-Jing Li, Valentina Pyatkin, Max Kleiman-Weiner, Liwei Jiang, Nouha Dziri, Anne G. E. Collins, Jana Schaich Borg, Maarten Sap, Yejin Choi, Sydney Levine:
SafetyAnalyst: Interpretable, transparent, and steerable LLM safety moderation. CoRR abs/2410.16665 (2024) - 2023
- [j7]Milena Rmus, Amy Zou, Anne G. E. Collins
:
Choice Type Impacts Human Reinforcement Learning. J. Cogn. Neurosci. 35(2): 314-330 (2023) - [c9]Jing-Jing Li, Chengchun Shi, Lexin Li, Anne G. E. Collins:
A generalized method for dynamic noise inference in modeling sequential decision-making. CogSci 2023 - [c8]Gaia Molinaro, Anne G. E. Collins:
Human hacks and bugs in the recruitment of reward systems for goal achievement. CogSci 2023 - 2022
- [j6]Aspen H. Yoo, Anne G. E. Collins
:
How Working Memory and Reinforcement Learning Are Intertwined: A Cognitive, Neural, and Computational Perspective. J. Cogn. Neurosci. 34(4): 551-568 (2022) - [c7]Jing-Jing Li, Liyu Xia, Flora Dong, Anne G. E. Collins:
Credit assignment in hierarchical option transfer. CogSci 2022 - [c6]Amy Zou, Anne G. E. Collins:
Three systems interact in one-shot reinforcement learning. CogSci 2022 - 2021
- [j5]Liyu Xia
, Sarah L. Master
, Maria K. Eckstein
, Beth Baribault
, Ronald E. Dahl
, Linda Wilbrecht
, Anne Gabrielle Eva Collins:
Modeling changes in probabilistic reinforcement learning during adolescence. PLoS Comput. Biol. 17(7) (2021) - [c5]Maria K. Eckstein, Anne G. E. Collins:
How the Mind Creates Structure: Hierarchical Learning of Action Sequences. CogSci 2021 - 2020
- [c4]Ham Huang, Samuel D. McDougle, Anne Collins:
A role for working memory in shaping the action policy for reinforcement learning. CogSci 2020 - [c3]Milena Rmus, Anne Collins:
What is a choice in reinforcement learning? CogSci 2020 - [c2]Liyu Xia, Sarah L. Master, Maria K. Eckstein, Linda Wilbrecht, Anne Collins:
Learning under uncertainty changes during adolescence. CogSci 2020
2010 – 2019
- 2018
- [j4]William H. Alexander, Joshua W. Brown, Anne G. E. Collins, Benjamin Y. Hayden, Eliana Vassena
:
Prefrontal Cortex in Control: Broadening the Scope to Identify Mechanisms. J. Cogn. Neurosci. 30(8) (2018) - [j3]Anne G. E. Collins:
The Tortoise and the Hare: Interactions between Reinforcement Learning and Working Memory. J. Cogn. Neurosci. 30(10) (2018) - [c1]Maria K. Eckstein, Anne Collins:
Evidence for hierarchically-structured reinforcement learning in humans. CogSci 2018 - 2017
- [j2]Anne Gabrielle Eva Collins:
The Cost of Structure Learning. J. Cogn. Neurosci. 29(10): 1646-1655 (2017) - 2016
- [j1]Anne Gabrielle Eva Collins, Michael Joshua Frank:
Motor Demands Constrain Cognitive Rule Structures. PLoS Comput. Biol. 12(3) (2016)
Coauthor Index

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