C.L. (Catherine) Sibert, Dr

Universitair Docent Human Computer Collaboration

Faculteit Science and Engineering

Telefoon:

050 36 36533

E-mail:

c.l.sibert rug.nl

ORCID Research Portal

Publicaties

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

Hake, H. S., Sibert, C. & Stocco, A., okt.-2022, In: Topics in Cognitive Science. 14, 4, blz. 845-859 15 blz.

Onderzoeksoutput › › peer review

The Structured Mind at Rest: Low-Frequency Oscillations Reflect Interactive Dynamics Between Spontaneous Brain Activity and a Common Architecture for Task Control

Sibert, C., Hake, H. S. & Stocco, A., 11-jul.-2022, In: Frontiers in Neuroscience. 16, 15 blz., 832503.

Onderzoeksoutput › › peer review

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

Stocco, A., Sibert, C., Steine-Hanson, Z., Koh, N., Laird, J. E., Lebiere, C. J. & Rosenbloom, P., 15-jul.-2021, In: Neuroimage. 235, 15 blz., 118035.

Onderzoeksoutput › › peer review

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

Sibert, C., Hake, H., Laird, J. E., Lebiere, C., Rosenbloom, P. S. & Stocco, A., 2021. 10 blz.

Onderzoeksoutput ›

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

Smith, B. M., Thomasson, M., Yang, Y. C., Sibert, C. & Stocco, A., 1-jul.-2021, In: Topics in Cognitive Science. 13, 3, blz. 499-514 16 blz.

Onderzoeksoutput › › peer review

Less is more: Additional information leads to lower performance in TETRIS models

Sibert, C., Speicher, J. & Gray, W. D., 2020, Proceedings of ICCM 2019 - 17th International Conference on Cognitive Modeling (2020) 228-234. Stewart, T. C. (redactie). The MIT Press, blz. 228-234 7 blz.

Onderzoeksoutput › › peer review

Unpuzzling Tetris: Exploring the Mechanisms of Expertise in a Complex, Dynamic Task with Simple Machine Learning Models

Sibert, C., 2019

Onderzoeksoutput: Thesis fully external

The essence of interaction in boundedly complex, dynamic task environments.

Gray, W. D., Lindstedt, J. K., Sibert, C., Sangster, M-D. D., Rahman, R., Denga, R. & Destefano, M., 1-jan.-2018, Interactive task learning: Humans, robots, and agents acquiring new tasks through natural interactions.. Gluck, K. A. & Laird, J. E. (redactie). Cambridge, MA: The MIT Press, blz. 147-165 19 blz. (Strüngmann forum reports).

Onderzoeksoutput ›

The Tortoise and the Hare: Understanding the Influence of Sequence Length and Variability on Decision-Making in Skilled Performance

Sibert, C. & Gray, W. D., 13-dec.-2018, In: Computational Brain & Behavior. 1, blz. 215–227 13 blz.

Onderzoeksoutput › › peer review

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

Sibert, C., Gray, W. D. & Lindstedt, J. K., apr.-2017, In: Topics in Cognitive Science. 9, 2, blz. 374-394 21 blz.

Onderzoeksoutput › › peer review

Lees meer

Alle (10) publicaties

Bekijk volledig onderzoeksprofiel