معرفی
Catherine Sibert is a faculty member at the University of Groningen, affiliated with the Faculty of Science and Engineering in the Department of Artificial Intelligence. She holds the academic rank of Assistant Professor and is actively engaged in interdisciplinary research bridging cognitive science, neuroscience, and artificial intelligence.
Her research interests include cognitive architecture, decision-making, neuroimaging, causal modeling, and brain activity, with a strong emphasis on data-driven approaches. She applies methods such as Granger causality and dynamic causal modeling to analyze multitask neuroimaging data and understand the neural underpinnings of cognition.
The recent publications of Catherine Sibert demonstrate a consistent focus on modeling cognitive processes, particularly in decision-making and motor control, using computational and neuroimaging techniques. Her work often explores individual differences and the interaction between episodic and procedural memory systems.
She collaborates with researchers such as Andrea Stocco and Hake H.S., contributing to high-impact journals like Topics in Cognitive Science and Frontiers in Neuroscience. Her research output is peer-reviewed, open access, and widely shared in academic networks.
- Decision Making
- Cognitive Architecture
- Neuroimaging
- Resting-State Networks
- Speech Motor Control
- Data-driven Modeling
Catherine Sibert has no listed scientific awards in the provided text. She does not appear to have formal advisees listed, and there is no mention of grants or teaching responsibilities. However, her active publication record suggests ongoing research and collaboration within cognitive neuroscience and AI.
She is associated with a research lab or team focused on cognitive modeling and neuroimaging, likely collaborating within the Artificial Intelligence department on projects involving brain-computer interfaces, cognitive systems, and computational modeling of human behavior.
