Gregory Cogan

Research Interests

Human electrophysiology (ECoG, µECoG, EEG, MEG), speech perception, speech production, working memory, sensory-motor integration, neuronal speech representations, language processing, relation between neuroscience and cognition, neuronal networks, neural decoding, epilepsy

Bio

Dr. Cogan's research focuses on speech, language, and cognition. This research uses a variety of analytic techniques (e.g. neural power analysis, connectivity measures, decoding algorithms) and focuses mainly on invasive human recordings (electrocorticography - ECoG) but also uses non-invasive methods such as EEG, MEG, and fMRI. Dr. Cogan is also interested in studying cognitive systems in the context of disease models to help aid recovery and treatment programs.

Education

• B.A. Queens University, 2004
• M.Sc. University of Edinburgh (United Kingdom), 2006
• Ph.D. University of Maryland, College Park, 2011

Trainings & Certifications

• Postdoctoral Research Associate, DEPARTMENT OF BIOMEDICAL ENGINEERING (2015 - 2017) Duke University

Positions

• Assistant Professor in Neurology
• Assistant Research Professor of Psychology and Neuroscience
• Assistant Professor of Biomedical Engineering
• Assistant Professor of Neurosurgery

Courses Taught

• NEUROSCI 755: Interdisciplinary Program in Cognitive Neuroscience (IPCN) Independent Research Rotation
• NEUROSCI 494: Research Independent Study 2
• NEUROSCI 493: Research Independent Study 1
• ECE 899: Special Readings in Electrical Engineering

Publications

• Raja SM, Guptill JT, Mack M, Peterson M, Byard S, Twieg R, et al. A Phase 1 Assessment of the Safety, Tolerability, Pharmacokinetics and Pharmacodynamics of (2R,6R)-Hydroxynorketamine in Healthy Volunteers. Clin Pharmacol Ther. 2024 Nov;116(5):1314–24.
• Duraivel S, Rahimpour S, Chiang C-H, Trumpis M, Wang C, Barth K, et al. High-resolution neural recordings improve the accuracy of speech decoding. Nat Commun. 2023 Nov 6;14(1):6938.
• Barth KJ, Sun J, Chiang C-H, Qiao S, Wang C, Rahimpour S, et al. Flexible, high-resolution cortical arrays with large coverage capture microscale high-frequency oscillations in patients with epilepsy. Epilepsia. 2023 Jul;64(7):1910–24.
• Sun J, Barth K, Qiao S, Chiang C-H, Wang C, Rahimpour S, et al. Intraoperative microseizure detection using a high-density micro-electrocorticography electrode array. Brain Commun. 2022;4(3):fcac122.
• Chiang C-H, Wang C, Barth K, Rahimpour S, Trumpis M, Duraivel S, et al. Flexible, high-resolution thin-film electrodes for human and animal neural research. J Neural Eng. 2021 Jun 17;18(4).
• Trumpis M, Chiang C-H, Orsborn AL, Bent B, Li J, Rogers JA, et al. Sufficient sampling for kriging prediction of cortical potential in rat, monkey, and human µECoG. J Neural Eng. 2021 Mar 8;18(3).
• Cogan GB. Translating the brain. Nat Neurosci. 2020 Apr;23(4):471–2.
• Teng X, Cogan GB, Poeppel D. Speech fine structure contains critical temporal cues to support speech segmentation. Neuroimage. 2019 Nov 15;202:116152.
• Poeppel D, Cogan G, Davidesco I, Flinker A. Speech Perception: a perspective from lateralisation, motorisation, and oscillation. In: de Zubicaray G, Schiller N, editors. Oxford Hanbook of Neurolinguistics. 2019.
• Sharma S, Muh CR, Serafini S, Chou ND, Spears TG, Hodges SE, et al. Multimodality Language Mapping Using Cortical Stimulation in Paediatric Patients With Epilepsy. In: NEUROSURGERY. 2019. p. 141–141.
• Cogan GB, Iyer A, Melloni L, Thesen T, Friedman D, Doyle W, et al. Manipulating stored phonological input during verbal working memory. Nat Neurosci. 2017 Feb;20(2):279–86.
• Cogan GB. I see what you are saying. Elife. 2016 Jun 9;5.
• Cogan GB, Kirshenbaum SR, Walker J, Poeppel D. A kiss is not a kiss: visually evoked neuromagnetic fields reveal differential sensitivities to brief presentations of kissing couples. Neuroreport. 2015 Sep 30;26(14):850–5.
• Cogan GB, Thesen T, Carlson C, Doyle W, Devinsky O, Pesaran B. Sensory-motor transformations for speech occur bilaterally. Nature. 2014 Mar 6;507(7490):94–8.
• Zion Golumbic E, Cogan GB, Schroeder CE, Poeppel D. Visual input enhances selective speech envelope tracking in auditory cortex at a "cocktail party". J Neurosci. 2013 Jan 23;33(4):1417–26.
• Cogan GB, Poeppel D. A mutual information analysis of neural coding of speech by low-frequency MEG phase information. J Neurophysiol. 2011 Aug;106(2):554–63.
• Riley J, Cogan G. A two mechanism model of pure word deafness. University of Maryland Working Papers in Linguistics. 2007 Jan 1;201–21.

In The News

• Duke Scientists Create Brain Implant That May Enable Communication From Thoughts Alone (Nov 6, 2023 | Duke Today)
• How Duke Researchers Defend the Brain (Sep 6, 2023 | Duke Magazine)
• Researchers take another step closer to mind-reading computer (Mar 31, 2020 | Medical Xpress)
• MEDx connects School of Medicine and Pratt to encourage research collaboration (Oct 4, 2019 | The Chronicle)
• Researchers' discovery of new verbal working memory architecture has implications for AI (Dec 16, 2016 | EurekAlert!)
• Scientists: Speech comes from both sides of the brain, not one (Jan 15, 2014 | CBS News)