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Gregory Cogan's research focuses on the intricate relationships between speech, language, and cognition. He employs a diverse array of analytical techniques, such as neural power analysis, connectivity measures, and decoding algorithms, primarily leveraging invasive human recordings like electrocorticography (ECoG). His studies also incorporate non-invasive methods including EEG, MEG, and fMRI to explore cognitive systems within the context of disease models, aiming to enhance treatment and recovery programs. Cogan is particularly interested in understanding human electrophysiology through techniques such as ECoG, µECoG, EEG, and MEG, contributing significantly to the fields of speech perception, speech production, working memory, and sensory-motor integration. His work seeks to decode neuronal speech representations and investigate the neural networks involved in language processing and cognition. Cogan's commitment to advancing these fields is reflected in his impactful research, which delves into the interplay between neuroscience and cognitive functions, making substantial contributions to our understanding of the human brain's mechanisms in speech and language.
Duke University • Duke University, NC
Worked at the Department of Biomedical Engineering.
Psychology & Neuroscience • Duke University, NC
Neurosurgery • Duke University, NC
Biomedical Engineering • Duke University, NC
Department of Biomedical Engineering (MS program)