Anne G. E. Collins

20 papers B 9Journal 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Language Model Goal Selection Differs from Humans' in an Open-Ended Task. CoRR Gaia Molinaro, Dave August, Danielle Perszyk, Anne G. E. Collins
2025	B	`conf`	Computational insights from a novel habit induction protocol. CogSci Sarah Oh, Anne G. E. Collins
2025	J	`jnl`	Dual process impairments in reinforcement learning and working memory systems underlie learning deficits in physiological anxiety. PLoS Comput. Biol. Jennifer D. Senta, Sonia J. Bishop, Anne G. E. Collins
2025	B	`conf`	Humans integrate heuristics and Bayesian inference to efficiently explore under uncertainty. CogSci Jing-Jing Li, Connor Chen, Anne G. E. Collins
2025	B	`conf`	Mechanisms Of Working Memory Allocation In Reward Learning. CogSci Daniel B. Ehrlich, Anne G. E. Collins
2025	J	`jnl`	Nucleus accumbens dopamine release reflects Bayesian inference during instrumental learning. PLoS Comput. Biol. Albert J. Qü, Lung-Hao Tai, Christopher D. Hall, Emilie M. Tu, Maria K. Eckstein, Karyna Mishchanchuk, Wan Chen Lin, Juliana Chase, Andrew F. Macaskill, Anne G. E. Collins, Samuel J. Gershman, Linda Wilbrecht
2025	J	`jnl`	Reward function compression facilitates goal-dependent reinforcement learning. CoRR Gaia Molinaro, Anne G. E. Collins
2025	B	`conf`	When 0 is good: instrumental learning with counterintuitive goals decreases working memory engagement. CogSci Ti-Fen Pan, Gaia Molinaro, Anne G. E. Collins
2024	J	`jnl`	Adolescent and adult mice use both incremental reinforcement learning and short term memory when learning concurrent stimulus-action associations. PLoS Comput. Biol. Juliana Chase, Liyu Xia, Lung-Hao Tai, Wan Chen Lin, Anne G. E. Collins, Linda Wilbrecht
2024	J	`jnl`	Artificial neural networks for model identification and parameter estimation in computational cognitive models. PLoS Comput. Biol. Milena Rmus, Ti-Fen Pan, Liyu Xia, Anne G. E. Collins
2024	J	`jnl`	SafetyAnalyst: Interpretable, transparent, and steerable LLM safety moderation. CoRR 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
2023	B	`conf`	A generalized method for dynamic noise inference in modeling sequential decision-making. CogSci Jing-Jing Li, Chengchun Shi, Lexin Li, Anne G. E. Collins
2023	J	`jnl`	Choice Type Impacts Human Reinforcement Learning. J. Cogn. Neurosci. Milena Rmus, Amy Zou, Anne G. E. Collins
2023	B	`conf`	Human hacks and bugs in the recruitment of reward systems for goal achievement. CogSci Gaia Molinaro, Anne G. E. Collins
2022	B	`conf`	Credit assignment in hierarchical option transfer. CogSci Jing-Jing Li, Liyu Xia, Flora Dong, Anne G. E. Collins
2022	J	`jnl`	How Working Memory and Reinforcement Learning Are Intertwined: A Cognitive, Neural, and Computational Perspective. J. Cogn. Neurosci. Aspen H. Yoo, Anne G. E. Collins
2022	B	`conf`	Three systems interact in one-shot reinforcement learning. CogSci Amy Zou, Anne G. E. Collins
2021	B	`conf`	How the Mind Creates Structure: Hierarchical Learning of Action Sequences. CogSci Maria K. Eckstein, Anne G. E. Collins
2018	J	`jnl`	Prefrontal Cortex in Control: Broadening the Scope to Identify Mechanisms. J. Cogn. Neurosci. William H. Alexander, Joshua W. Brown, Anne G. E. Collins, Benjamin Y. Hayden, Eliana Vassena
2018	J	`jnl`	The Tortoise and the Hare: Interactions between Reinforcement Learning and Working Memory. J. Cogn. Neurosci. Anne G. E. Collins