Anne Gabrielle Eva Collins (Anne Collins, Anne Ge Collins, Anne G E Collins)

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 23

Top Topics

Transcranial Direct Current Stimulation

Prefrontal Cortex

Top Venues

The Journal of neuroscience : the official journal of the Society for Neuroscience

bioRxiv : the preprint server for biology

Proceedings of the National Academy of Sciences of the United States of America

This page only lists publications with an associated author ORCID identifier.

Publications

Jing-Jing Li, Chengchun Shi, Lexin Li, Anne Gabrielle Eva Collins
Dynamic noise estimation: A generalized method for modeling noise fluctuations in decision-making. bioRxiv : the preprint server for biology (2024)
Jonathan S Tsay, Hyosub E Kim, Samuel D McDougle, Jordan A Taylor, Adrian M Haith, Guy Avraham, John W Krakauer, Anne Gabrielle Eva Collins, Richard B Ivry
Fundamental processes in sensorimotor learning: Reasoning, refinement, and retrieval. eLife 13 (2024)
Jing-Jing Li, Chengchun Shi, Lexin Li, Anne Gabrielle Eva Collins
Dynamic noise estimation: A generalized method for modeling noise fluctuations in decision-making. bioRxiv : the preprint server for biology (2024)
Jing-Jing Li, Chengchun Shi, Lexin Li, Anne Gabrielle Eva Collins
Dynamic noise estimation: A generalized method for modeling noise fluctuations in decision-making. bioRxiv : the preprint server for biology (2024)
Jonathan S Tsay, Hyosub E Kim, Samuel D McDougle, Jordan A Taylor, Adrian M Haith, Guy Avraham, John W Krakauer, Anne Gabrielle Eva Collins, Richard B Ivry
Fundamental processes in sensorimotor learning: Reasoning, refinement, and retrieval. eLife 13 (2024)
Jonathan S Tsay, Hyosub E Kim, Samuel D McDougle, Jordan A Taylor, Adrian M Haith, Guy Avraham, John W Krakauer, Anne Gabrielle Eva Collins, Richard B Ivry
Fundamental processes in sensorimotor learning: Reasoning, refinement, and retrieval. eLife 13 (2024)
Rachel Rac-Lubashevsky, Anna Cremer, Anne Gabrielle Eva Collins, Michael J Frank, Lars Schwabe
Neural index of reinforcement learning predicts improved stimulus-response retention under high working memory load. The Journal of neuroscience : the official journal of the Society for Neuroscience (2023)
Aspen H Yoo, Haley Keglovits, Anne Gabrielle Eva Collins
Lowered inter-stimulus discriminability hurts incremental contributions to learning. Cognitive, affective & behavioral neuroscience (2023)
Gaia Molinaro, Anne Gabrielle Eva Collins
Intrinsic rewards explain context-sensitive valuation in reinforcement learning. PLoS biology 21 (7) (2023)
Milena Rmus, Mingjian He, Beth Baribault, Edward G Walsh, Elena K Festa, Anne Gabrielle Eva Collins, Matthew R Nassar
Age-related differences in prefrontal glutamate are associated with increased working memory decay that gives the appearance of learning deficits. eLife 12 (2023)
Milena Rmus, Amy Zou, Anne Gabrielle Eva Collins
Choice Type Impacts Human Reinforcement Learning. Journal of cognitive neuroscience (2022)
Maria Katharina Eckstein, Sarah L Master, Liyu Xia, Ronald E Dahl, Linda Wilbrecht, Anne Gabrielle Eva Collins
The interpretation of computational model parameters depends on the context. eLife 11 (2022)
Aspen H Yoo, Anne Gabrielle Eva Collins
How Working Memory and Reinforcement Learning Are Intertwined: A Cognitive, Neural, and Computational Perspective. Journal of cognitive neuroscience 34 (4) (2022)
Liyu Xia, Anne Gabrielle Eva Collins
Temporal and state abstractions for efficient learning, transfer, and composition in humans. Psychological review 128 (4) (2021)
Anne Gabrielle Eva Collins, Amitai Shenhav
Advances in modeling learning and decision-making in neuroscience. Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology 47 (1) (2021)
Liyu Xia, Sarah L Master, Maria Katharina Eckstein, Beth Baribault, Ronald E Dahl, Linda Wilbrecht, Anne Gabrielle Eva Collins
Modeling changes in probabilistic reinforcement learning during adolescence. PLoS computational biology 17 (7) (2021)
Maria Katharina Eckstein, Anne Gabrielle Eva Collins
Computational evidence for hierarchically structured reinforcement learning in humans. Proceedings of the National Academy of Sciences of the United States of America 117 (47) (2021)
Anne Gabrielle Eva Collins, Jeffrey Cockburn
Beyond dichotomies in reinforcement learning. Nature reviews. Neuroscience 21 (10) (2020)
Robert C Wilson, Anne Gabrielle Eva Collins
Ten simple rules for the computational modeling of behavioral data. eLife 8 (2019)
Anne Gabrielle Eva Collins, Michael J Frank
Within- and across-trial dynamics of human EEG reveal cooperative interplay between reinforcement learning and working memory. Proceedings of the National Academy of Sciences of the United States of America 115 (10) (2018)
Theresa M Desrochers, Anne Gabrielle Eva Collins, David Badre
Sequential Control Underlies Robust Ramping Dynamics in the Rostrolateral Prefrontal Cortex. The Journal of neuroscience : the official journal of the Society for Neuroscience 39 (8) (2018)
Anne Gabrielle Eva Collins, Brittany Ciullo, Michael J Frank, David Badre
Working Memory Load Strengthens Reward Prediction Errors. The Journal of neuroscience : the official journal of the Society for Neuroscience 37 (16) (2017)
Denise M Werchan, Anne Gabrielle Eva Collins, Michael J Frank, Dima Amso
Role of Prefrontal Cortex in Learning and Generalizing Hierarchical Rules in 8-Month-Old Infants. The Journal of neuroscience : the official journal of the Society for Neuroscience 36 (40) (2017)