Cognitive Network Science: Quantitatively Investigating the Complexity of Cognition
- Yoed Kenett, Psychology, University og Pennsylvania, Philadelphia, Pennsylvania, United States
- Nichol Castro, Speech and Hearing Sciences, University of Washington, Seattle, Washington, United States
- Elisabeth Karuza, Pennsylvania State University, State College, Pennsylvania, United States
- Michael Vitevitch, Psychology, University of Kansas, Lawrence, Kansas, United States
AbstractCognition is complex. This complexity is related to multiple, distributed neurocognitive processes dynamically operating across parallel scales, resulting in cognitive processing. A major challenge in studying this complexity, relates to the abstractness of theoretical cognitive constructs, such as language, memory, or thinking in general. Such abstractness is operationalized, indirectly, via behavioral, measures or in neural activity. In the past two decades, an increasing number of studies have been applying network science methodologies across diverse scientific fields to study complex systems.
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