COGS and ECOM are excited to announce a joint talk on 4/19 by Dr. Psyche Loui from Northeastern University. Psyche Loui, PhD, is a psychology and neuroscience researcher, a musician, Associate Professor of Creativity and Creative Practice at Northeastern University, and Director of the Music, Imaging, and Neural Dynamics Laboratory (MIND Lab).

Date/Time: Friday, 4/19/24 from 4:00pm – 5:30pm Eastern Standard Time

In-Person Location: McHugh Hall 305 

Zoom Option: https://uconn-edu.zoom.us/j/97306159796?pwd=ZHI1NTh1R1dPZTdYNS95U3hnN2QyZz09

Meeting ID: 973 0615 9796    Passcode: 391851

Talk Title: The Sciences of New Musical Systems, and Their Implications for Brain Health

Abstract: Music is one of life’s greatest pleasures. While abundant evidence points to the role of predictability (i.e. the knowledge of what comes next) in the experience of pleasure, little is known about how predictable musical features (e.g. melody, harmony, rhythm) come to be rewarding. I will present new work in my lab on behavioral and neuroimaging studies of the relationship between musical predictions and their reward value. Our behavioral studies test whether and how it is possible to acquire reward value solely from newly-formed predictions, by exposing participants to novel, acoustically-controlled musical stimuli with different statistical properties without extrinsic paired rewards. Our neuroimaging studies capitalize on activity of the dopaminergic reward system, and its connectivity to the auditory system, to test for individual differences in reward sensitivity from music. Results show that this reward sensitivity is robust but malleable (i.e. both a state and a trait), and lies at the heart of both active and receptive music-based interventions for a wide range of neurodegenerative disorders.

Meetings: If you are interested in meeting with Dr. Loui during the day or attending dinner in the evening, please email crystal.mills@uconn.edu. 

Dear IBACS & BIRC Communities,

The Cognitive Science Program and the Speech, Language, and Hearing Sciences Department are co-hosting a talk on 11/10!   

Speaker: Dr. Samuel Mathias, Professor of Psychology from the Department of Psychiatry at the Harvard Medical School

Time & Location: 4PM, Friday November 10, 2023, in McHugh Hall Room 206

We are excited to announce that Language Fest is making an in-person return for 2023, and invite you to join us on the afternoon of Wednesday, April 26th (event times TBD).

Language Fest is a University-wide research conference that welcomes the full cross-disciplinary community of language researchers at UConn for a day of sharing results, ideas, methodologies, and fostering future interdisciplinary collaborations. Researchers from all disciplines of the language sciences and at all career stages are welcome and encouraged to submit their work.  

Further details about submissions and registration will be provided in early-March 2023.

For any questions about Language Fest, please e-mail: langfest@uconn.edu and visit our website https://languagefest.uconn.edu/. 

We look forward to your attendance and participation!

The Cognitive Science Program invites you to a talk on 2/24

Speaker: Dr. Thomas Naselaris, an Associate Professor from Department of Neuroscience at the University of Minnesota.

Time & Location: 4PM, Friday February 24^th, 2023, in Oak Hall Room 117. Light refreshments will be provided. 

RSVP Form 

Talk Title: “Why Do We Have Mental Images?”

Abstract: Everyone who experiences mental imagery is the world expert on the contents of their own mental images. We argue that this privileged perspective on one’s own mental images provides very limited understanding about the function of mental imagery, which can only be understood by proposing and testing hypotheses about the computational work that mental images do. We propose that mental imagery functions as a useful form of inference that is conditioned on visual beliefs. We implement this form of inference in a simple generative model of natural scenes, and show that it makes testable predictions about differences in tuning to seen and imagined features. We confirm these predictions with a large-scale fMRI experiment in which human brain activity was sampled while subjects generated hundreds of mental images. We speculate that ongoing mental imagery may impact the structure of noise correlations in the visual system, and present a preliminary analysis of the Natural Scenes Dataset that appears to be consistent with these speculations. 

Bio: Thomas is an Associate Professor in the Department of Neuroscience at the University of Minnesota, and a member of the Medical Discovery Team on Optical Imaging and Brain Science at the Center for Magnetic Resonance Research. He is co-founder and currently Executive Chair of the Conference on Cognitive Computational Neuroscience.

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