Cognitive, Auditory, and Neural Bases of Language and Speech (CANBLS)

The Cognitive, Auditory, and Neural Bases of Language and Speech (CANBLS) Research Group brings together researchers from Duke campus and medical school to explore in depth the many aspects that contribute to our unique ability to generate, and communicate via language and speech. The aim is to share ongoing research and inspire collaborations across campus combining the different research approaches represented in the group (developmental, clinical, neuroimaging, engineering, etc.) to push our understanding of the cognitive, auditory, and neural bases of language and speech. Faculty co-leaders: Tobias Overath, Greg Cogan, Jenni Groh, Elika Bergelson. To join the CANBLS listserv, please email Kathy Neal at DIBS, kneal@duke.edu

Fall 2020 CANBLS Lectures (virtual)

This semester, CANBLS is continuing in a virtual format, every 2nd Monday of the month at 1 pm. This virtual format has given us the opportunity to invite more external speakers, and we are very excited with the following line-up. Sign-up information and titles to come.

Spring 2020 CANBLS Lectures

  • Jan. 15, 2020: "Articulation & Acoustics of Some Typologically Unusual Vowels," Jeff Mielke, PhD, Linguistics, N.C. State University

Fall 2019 CANBLS Lectures

  • Sept. 18, 2019: Akshay Maggu, Postdoctoral Associate, Duke
  • Oct. 16, 2019: Jack Goffinet, Research Associate, Duke
  • Nov. 20, 2019: Emily Buss, Otolaryngology, UNC-Chapel Hill
  • Dec. 18, 2019: Gregory Cogan, Neurosurgery, Duke

Spring 2019 Lecturers

  • Peter GordonPeter Gordon, PhD, Director, Language, Cognition, and Brain Lab, UNC-Chapel Hill, on “Rapid Naming as a Measure of Reading Ability:  Eye-voice Analyses and the Effects of Aging”
  • Howard FrancisHoward Francis, MD, MBA, Chief, Division of Head and Neck Surgery and Communication Sciences, Professor of Surgery, at Duke School of Medicine, on “Cochlear Implantation Across the Lifespan”
  • Stephan MeylanStephan Meylan, PhD, Postdoctoral Associate, Psychology & Neuroscience, on “Evaluating Probabilistic Language Models with Serial Reproduction” 

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