| Analysis of the human connectome data supports the notion of a “Common Model of Cognition” for human and human-like intelligence across domains A Stocco, C Sibert, Z Steine-Hanson, N Koh, JE Laird, CJ Lebiere, ... NeuroImage 235, 118035, 2021 | 39 | 2021 |
| Interrogating feature learning models to discover insights into the development of human expertise in a real‐time, dynamic decision‐making task C Sibert, WD Gray, JK Lindstedt Topics in cognitive science 9 (2), 374-394, 2017 | 32 | 2017 |
| When fear shrinks the brain: A computational model of the effects of posttraumatic stress on hippocampal volume BM Smith, M Thomasson, YC Yang, C Sibert, A Stocco Topics in cognitive science 13 (3), 499-514, 2021 | 13 | 2021 |
| The tortoise and the hare: Understanding the influence of sequence length and variability on decision-making in skilled performance C Sibert, WD Gray Computational Brain & Behavior 1, 215-227, 2018 | 9 | 2018 |
| Tetris-: Exploring Human Performance via Cross Entropy Reinforcement Learning Models. C Sibert, WD Gray, JK Lindstedt CogSci, 2015 | 7 | 2015 |
| Inferring a Cognitive Architecture from Multitask Neuroimaging Data: A Data‐Driven Test of the Common Model of Cognition Using Granger Causality HS Hake, C Sibert, A Stocco Topics in Cognitive Science 14 (4), 845-859, 2022 | 6 | 2022 |
| The structured mind at rest: low-frequency oscillations reflect interactive dynamics between spontaneous brain activity and a common architecture for task control C Sibert, HS Hake, A Stocco Frontiers in Neuroscience 16, 832503, 2022 | 4 | 2022 |
| Competing Decision-Making Systems Are Adaptively Chosen Based on Individual Differences in Brain Connectivity. Y Yang, C Sibert, A Stocco Biorxiv: the Preprint Server for Biology, 2023 | 3* | 2023 |
| Less is more: Additional information leads to lower performance in Tetris models CL Sibert, J Speicher, WD Gray Proceedings of the International Conference on Cognitive Modeling, 1-7, 2019 | 3 | 2019 |
| When Experts Err: Using Tetris Models to Detect True Errors From Deliberate Sub-Optimal Choices. C Sibert, WD Gray CogSci, 3572, 2019 | 3 | 2019 |
| The need for speed: Effects of human derived time constraints on performance and strategy in machine models of tetris CL Sibert, WD Gray International Conference on Cognitive Modeling, 2020 | 2 | 2020 |
| The tortoise wins only when the race is long: How the task environment changes the behavior of Tetris models. C Sibert, WD Gray CogSci, 2017 | 2 | 2017 |
| Improving novice Tetris players with feedback from AI model based tutors C Sibert Rensselaer Polytechnic Institute, 2015 | 2 | 2015 |
| Tetris: Exploring human strategies via cross entropy reinforcement learning models C Sibert, J Lindstedt, W Gray Proceedings of the Annual Meeting of the Cognitive Science Society 36 (36), 2014 | 2 | 2014 |
| The structured mind at rest: Evidence for the “common model of cognition” in resting state fmri C Sibert, H Hake, A Stocco International Conference on Cognitive Modeling. Society for Mathematical …, 2021 | 1 | 2021 |
| The role of the basal ganglia in the human cognitive architecture: A dynamic causal modeling comparison across tasks and individuals C Sibert, JE Laird, C Lebiere, PS Rosenbloom, A Stocco Proceedings of the Annual Meeting of the Cognitive Science Society 43 (43), 2021 | 1 | 2021 |
| Modeling the Effects of Post-Traumatic Stress on Hippocampal Volume B Smith, M Chiu, Y Yang, C Sibert, A Stocco Proceedings of ICCM, 2020 | 1 | 2020 |
| The essence of interaction in boundedly complex, dynamic task environments WD Gray, JK Lindstedt, C Sibert, MDD Sangster, R Rahman, R Denga, ... | 1 | 2019 |
| Unpuzzling tetris: exploring the mechanisms of expertise in a complex, dynamic task with simple machine learning models C Sibert Rensselaer Polytechnic Institute, 2019 | 1 | 2019 |
| Comparing reinforcement learning in humans and artificial intelligence through Tetris L Gittelson, J Lindstedt, C Sibert, W Gray Proceedings of the Annual Meeting of the Cognitive Science Society 36 (36), 2014 | 1 | 2014 |
