معرفی
Paul Kieffaber is an affiliated researcher in the Department of Data Science at William & Mary's College of Arts & Sciences. His work focuses on electrophysiological studies of cognitive processes, particularly aging-related changes in neural mechanisms. Research emphasizes error detection, executive control, and neurocognitive decline using EEG/ERP methodologies. Key areas include:
- Neural correlates of cognitive aging
- ERP analysis of error processing
- Neuroplasticity in aging populations
- EEG-based neurometric assessment development
Recent publications explore theta/gamma oscillations in memory processes (2024), error-related negativity dynamics (2023), and auditory ERP components in schizophrenia (2023). Current research integrates computational neuroscience methods with traditional EEG analysis to understand age-related cognitive changes. No current students/awards listed in provided texts.
Paul Kieffaber در سایتهای دیگر
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