Catherine Sibert

According to our database, Catherine Sibert authored at least 13 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Less Than the Sum of its Parts: Complex Models of Cognition Struggle to Capture Regional Activity within Otherwise Well-Fitting Model Structures.

Sönke Steffen, Catherine Sibert

Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025

The Need for Speed? Exploring the Contribution of Motor Speed to Expertise in a Complex, Dynamic Task.

Catherine Sibert, Roussel Rahman

Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025

2022

Inferring a Cognitive Architecture from Multitask Neuroimaging Data: A Data-Driven Test of the Common Model of Cognition Using Granger Causality.

Holly Sue Hake, Catherine Sibert, Andrea Stocco

Top. Cogn. Sci., 2022

2021

When Fear Shrinks the Brain: A Computational Model of the Effects of Posttraumatic Stress on Hippocampal Volume.

Briana M. Smith, Madison Thomasson, Yuxue Cher Yang, Catherine Sibert, Andrea Stocco

Top. Cogn. Sci., 2021

Analysis of the human connectome data supports the notion of a "Common Model of Cognition" for human and human-like intelligence across domains.

Andrea Stocco, Catherine Sibert, Zoe Steine-Hanson, Natalie Koh, John E. Laird, Christian Lebiere, Paul S. Rosenbloom

NeuroImage, 2021

The Role of The Basal Ganglia in the Human Cognitive Architecture: A Dynamic Causal Modeling Comparison Across Tasks and Individuals.

Catherine Sibert, Holly Sue Hake, John E. Laird, Christian Lebiere, Paul S. Rosenbloom, Andrea Stocco

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

2019

Unpuzzling tetris: exploring the mechanisms of expertise in a complex, dynamic task with simple machine learning models.

Catherine Sibert

PhD thesis, 2019

When Experts Err: Using Tetris Models to Detect True Errors From Deliberate Sub-Optimal Choices.

Catherine Sibert, Wayne D. Gray

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2017

Interrogating Feature Learning Models to Discover Insights Into the Development of Human Expertise in a Real-Time, Dynamic Decision-Making Task.

Catherine Sibert, Wayne D. Gray, John K. Lindstedt

Top. Cogn. Sci., 2017

The tortoise wins only when the race is long: How the task environment changes the behavior of Tetris models.

Catherine Sibert, Wayne D. Gray

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2015

Tetris-: Exploring Human Performance via Cross Entropy Reinforcement Learning Models.

Catherine Sibert, Wayne D. Gray, John K. Lindstedt

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

2014

Tetris: Exploring Human Strategies via Cross Entropy Reinforcement Learning Models.

Catherine Sibert, John K. Lindstedt, Wayne D. Gray

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Comparing reinforcement learning in humans and artificial intelligence through Tetris.

Logan Gittelson, John K. Lindstedt, Catherine Sibert, Wayne D. Gray

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014