Dear All,

 

This is a kind reminder:

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The CEU Department of Cognitive Science cordially invites you to the following talk by:

 

Maria Chait, UCL, Faculty of Brain Sciences

 

Date: Wednesday, December 10, 2025

Time4 pm (to 5:30 pm) CET

Venue: D001 (QS Vienna) and Zoom:   https://ceu-edu.zoom.us/j/99827332409?pwd=JjwjgzxbR6ut794b0HzBG0hFZeUSnQ.1

 

Meeting ID: 998 2733 2409

Passcode: 195696

 

Chair: Jozsef Fiser, Linda Garami

 

Title: Discovery, Interruption, and Updating of Auditory Regularities in Memory: Evidence from Pupillometry and Low-Frequency Brain Dynamics in Human M/EEG

 

Professor Maria Chait is an auditory cognitive neuroscientist at the Ear Institute and co-director of the Sensory Systems, Technologies and Therapies (SenSyT) PhD programme.

 

Abstract: During passive listening, the brain maintains a hierarchy of predictive models to track the statistical structure of its surroundings. A key question pertains to understanding how  such models are established in and retrieved from memory as well as the conditions under which they are activated and interrupted.

 Over the last decade, accumulating work from my lab and others has shown that the automatic discovery of regular patterns is associated with a gradual increase in sustained tonic M/EEG activity—originating in auditory, hippocampal, and frontal regions—which reflects evidence accumulation and the establishment of a regularity model. Conversely, when a regular pattern is disrupted, this sustained activity drops, indicating disengagement from the model. Focusing on these neural signatures of statistical tracking, ongoing efforts in my lab are aiming to understand the brain heuristics associated with model updating and interruption and how they are affected by environmental volatility.

In this talk, I will present recent M/EEG and pupillometry work examining how neural responses associated with model “establishment” and “interruption” are shaped by acoustic context and memory (i.e., novel versus resumed REG patterns). These findings reveal the temporal dynamics and neural networks that support the brain’s  construction, selection, and updating of predictive models used to monitor changes in sensory statistics.

 

*Anyone not affiliated with CEU wishing to attend in-person in Vienna must reply here to get access to the lecture hall.

Let Linda know, please, if you would like to schedule a meeting with the speaker.

 

Best,

Reka

 

 

 

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GyörgyNÉ Finta (Réka)

Department Coordinator

Department of cognitive SCience

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