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  1. Glenn Gunzelmann (2011). Introduction to the Topic on Modeling Spatial Cognition. Topics in Cognitive Science 3 (4):628-631.
    Our ability to process spatial information is fundamental for understanding and interacting with the environment, and it pervades other components of cognitive functioning from language to mathematics. Moreover, technological advances have produced new capabilities that have created research opportunities and astonishing applications. In this Topic on Modeling Spatial Cognition, research crossing a variety of disciplines and methodologies is described, all focused on developing models to represent the capacities and limitations of human spatial cognition.
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  2. Glenn Gunzelmann & Don R. Lyon (2011). Representations and Processes of Human Spatial Competence. Topics in Cognitive Science 3 (4):741-759.
    This article presents an approach to understanding human spatial competence that focuses on the representations and processes of spatial cognition and how they are integrated with cognition more generally. The foundational theoretical argument for this research is that spatial information processing is central to cognition more generally, in the sense that it is brought to bear ubiquitously to improve the adaptivity and effectiveness of perception, cognitive processing, and motor action. We describe research spanning multiple levels of complexity to understand both (...)
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  3. Glenn Gunzelmann, Joshua B. Gross, Kevin A. Gluck & David F. Dinges (2009). Sleep Deprivation and Sustained Attention Performance: Integrating Mathematical and Cognitive Modeling. Cognitive Science 33 (5):880-910.
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  4. Glenn Gunzelmann (2008). Strategy Generalization Across Orientation Tasks: Testing a Computational Cognitive Model. Cognitive Science 32 (5):835-861.
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