Challenge Teams

WHAT WHEN & WHERE WHO
Computational approaches to human speech recognition
This team is working on projects related to an NSF grant of the same name. The focus is on connectionist (neural network) and deep learning models as tools to help develop theories of human speech processing and development.
Tuesdays, 3pm,
Virtual
 james.magnuson@uconn.edu
Language Assessment in the Wild: conversational dynamics
This team (including researchers at Aarhus University, Denmark; Emerson College; and Center for Autism Research at CHOP) is working on a grant to study language abilities using measures for which we aim to demonstrate greater sensitivity than standardized measures.
TBD inge-marie.eigsti@uconn.edu
Translational Challenge Team
Our first broad goal will be to become familiar with basic principles of translational science. Here’s a link to a shared doc with notes from the first meeting and a list of the materials that will be shared in a folder  
Virtual marie.coppola@uconn.edu
Language in mosaic Angelman syndrome
This team (including Holly Fitch and Stormy Chamberlain) is pursuing parallel mouse and human models of language and communication skills in individuals with changes in the gene associated with Angelman syndrome.
Update:
The Angelman syndrome Challenge Team Holly, Stormy, and Inge-Marie Eigsti-The SLAC challenge team led by Eigsti, Chamberlain and Fitch, and including Peter Perrino (SLAC Fellow), has made recent progress in identifying genetically mediated processing anomalies that may contribute to speech and language deficits in Angelman Syndrome (AS). Most individuals with AS show language impairments, and either do not speak or use only a few words. A mouse model carrying a maternally-imprinted mutation of the gene Ube3a was found to show significantly reduced social calls or ultrasonic vocalizations (USVs). Calls of AS mice were also atypical in pitch, duration and loudness, suggesting oral-motor deficits associated with the mutation. As mice also showed acoustic perceptual enhancements characteristic of autistic populations (Perrino et al., 2018). A parallel project will be starting soon to assess related measures in a rare mosaic AS population that shows preserved speech. Assessments will include acoustic perceptual tasks, as well as speech and language measures. This pilot data will be used in an RO1 to be submitted in 2021. Fellows interested in learning about or assisting in ongoing AS mouse studies, or in the collection and analysis of data from mosaic AS individuals, should contact the challenge team for more info. Regular meetings are not currently set (TBD).
TBD inge-marie.eigsti@uconn.edu