Cognitive Technologies: From Theory and Data to Application (Crump)
- Page ID
- 128993
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This is a collection of chapters exploring the theme of cognitive technologies. Each chapter was written by a student enrolled in the course PSYC 80103, Cognitive Technologies: From Theory and Data to Application, offered as a doctoral course, through the Department of Psychology at the Graduate Center of the City University of New York, taught by Matthew Crump, Spring 2018.
- Front Matter
- 1: Reflections on our tour of Cognitive Technologies
- 2: Computational Classification Techniques for Biomedical and Clinical Big Data
- 3: Sonification and augmented cognition- A brief overview
- 4: A Brief Review of Augmented Reality Display Technologies and Combination with Brain-Computer Interfaces
- 5: A Methodology for Microdosing Research- Cognitive behavioral tasks as investigative tools for tracking low-dose effects of psilocybin
- 6: Perceiving the World Around Us- How Divergent Methods Illustrate Convergent Perspectives
- 7: Brain Training and Cognition
- 8: Human Object Recognition and Computational Models
- 9: Language Acquisition and Machine Learning
- 10: References
- Back Matter