Cognitive, Auditory, and Neural Bases of Language and Speech Research Group
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.
The group meets once a month, at 4 p.m. Wednesdays, in the CCN Conference Room, LSRC B240, and is open to all students, faculty, and staff at Duke and UNC Chapel Hill. Please see the list of 2018 Spring Semester meetings below. CANBLS is administered by the Duke Institute for Brain Sciences. For more information or to have your name added to the CANBLS list, please contact Greg Cogan, co-convenor, at .
- Elika Bergelson, Psychology and Neuroscience, Center for Cognitive Neuroscience
- Greg Cogan, Neurosurgery
- Jennifer Groh, Psychology and Neuroscience, Neurobiology, Center for Cognitive Neuroscience
- Tobias Overath, Duke Institute for Brain Sciences, Psychology and Neuroscience, Center for Cognitive Neuroscience
CANBLS Meetings for Spring 2018--CCN Conference Room, LSRC B240
Richard Mooney, George Barth Geller Professor for Research in Neurobiology, "From Songs to Synapse: The Neurobiology of Vocal Learning"
Maura Sabatos-DeVito, Postdoctoral Associate, Duke Center for Autism & Brain Development, "Measuring the Language of Preschoolers with ASD in the Home Environment"
Social-communication and language impairments are a central component of Autism Spectrum Disorders (ASD). Identifying measures of social-communication and language that are objective and quantitative is needed for evaluating the effectiveness of treatments. Dr. Sabatos-DeVito will present on language data of young children with ASD collected in the home through the Language Environment Analysis (LENA) system. She will explore the characteristics of child and adult contributions to the home language environment as measured through LENA, and discuss associations of these automated language measures with standard clinical and lab-based measures of language and social-communication typically used in treatment studies.
Jackson Lee, DIBS Research Associate, and Boyla Mainsah, Research Scientist, Duke Applied Machine Learning Lab, Pratt School of Engineering (TBA)
03/28/17 Kocagoncu et al. 2017 J Neuro; Greg Cogan
04/11/17 Making Space and Moving Maps, Quiroga et al. 2005 Nature; Jennfer Groh, Valeria Caruso
04/25/2017 Child Directed Speech; Elika Bergelson
05/09/2017 Norman-Haignere et al. 2015 Neuron; Tobias Overath
05/23/2017 Speech quilt discrimination; Tobias Overath
06/06/2017 Evans et al. 2017 Frontiers; Bryce Gessell,
06/20/2017 Chord Consonance; Dale Purves
07/18/2017 Groh Lab Data; David Murphy, Cole Jenson
09/20/2017 Friedrich et al. 2017 Current Biology; Elika Bergelson
10/04/2017 Tang et al. 2017 Science; Greg Cogan
10/18/2017 Why Octaves; Dale Purves
11/01/2017 Romani et al. Neural Comp. 2013; Shawn Willitt
11/29/2017 Puvvada et al. J Neuro 2017; Seth Foster