Dear All,
This is a kind reminder:
*********
The CEU Department of Cognitive Science cordially invites you to the following talk by:
Maria
Chait<https://www.ucl.ac.uk/brain-sciences/research/women-science/maria-chait>, UCL,
Faculty of Brain Sciences
Date: Wednesday, December 10, 2025
Time: 4 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<https://forms.office.com/e/yLyn574U8r> 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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