Events
Past Event
WED@NICO SEMINAR: Caterina Gratton, Northwestern Dept of Psychology "Functional Networks and Hubs in the Human Brain"
Northwestern Institute on Complex Systems (NICO)
12:00 PM
//
Lower Level, Chambers Hall
Details
Speaker:
Caterina Gratton, Assistant Professor, Department of Psychology, Weinberg College of Arts and Sciences, Northwestern University
Title:
Functional Networks and Hubs in the Human Brain
Abstract:
The human brain is organized into large-scale networks, or systems, of interacting brain regions. These interactions can be measured in living humans with functional Magnetic Resonance Imaging (fMRI), by measuring correlations in the patterns of activity between different regions. Increasingly sophisticated techniques enable the mapping of brain networks at unprecedented levels of detail, but many questions still remain. In this presentation, I will tackle three recent studies that we have undertaken to better understand human functional brain networks and their contributions to brain function. In the first study, we examine whether the topology of brain networks – specifically, the presence of connector hub regions – is important for brain function, by examining the consequences of damage to these regions. In the second study, we examine the variability in brain networks within and across subjects at different time-scales. Finally, I will present on very recent work, looking in detail at the characteristics of individual differences in brain networks. Jointly, these studies suggest that network topology has important implications for human brain function, and that measures of network organization are stable features that can be used to measure trait-like variability in brain organization.
Speaker Bio:
Dr. Gratton is currently an Assistant Professor in the Psychology Department at Northwestern University, with a secondary appointment in the Department of Neurology and affiliations with the NUIN and the Cognitive Science Program. Dr. Gratton received her B.S. from the University of Illinois in Psychology and Neuroscience and her Ph.D. in Neuroscience from the University of California, Berkeley, where she worked with Mark D’Esposito and Michael Silver. Afterward, she was a postdoctoral fellow with Steve Petersen at Washington University in St. Louis. Dr. Gratton is interested in large-scale brain networks and how they give rise to complex human behaviors. Her research program seeks to characterize how human brain networks are organized, how they contribute to the myriad goal-directed behaviors that are essential to our daily lives, and how these processes break down with damage and disease. In her work, she employs a variety of methodologies, including functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) to track the spatial and dynamic characteristics of brain activity, and transcranial magnetic stimulation (TMS), recordings from patient populations, and pharmacological manipulations to study perturbations of brain systems.
Live Stream:
Time
Wednesday, April 3, 2019 at 12:00 PM - 1:00 PM
Location
Lower Level, Chambers Hall Map
Contact
Calendar
Northwestern Institute on Complex Systems (NICO)
No classes - Memorial Day - University offices are closed
University Academic Calendar
All Day
Details
No classes - Memorial Day - University offices are closed
Time
Monday, May 25, 2026
Contact
Calendar
University Academic Calendar
Data Science Nights - MAY 2026 - Speaker: Xudong Tang, Computer Science and NICO
Northwestern Institute on Complex Systems (NICO)
5:30 PM
//
M416, Technological Institute
Details
MAY MEETING: Thursday, May 28, 2026 at 5:30pm (US Central)
LOCATION:
ESAM Conference Room, Tech M416
2145 Sheridan Road, Evanston, IL 60208
AGENDA:
5:30pm - Meet and greet with refreshments
6:00pm - Talk with Xudong Tang, PhD Student, Computer Science, NICO, and the Human-AI Collaboration Lab, Northwestern University
TALK TITLE:
Human and Machine Perception of Voice Similarity
ABSTRACT:
Modern voice cloning systems generate synthetic speech that listeners frequently cannot identify as being synthetic. But a voice can sound natural without sounding like the intended person, and what determines whether a clone is heard as a particular person is an open question. Here we report a large-scale preregistered experiment in which we collected 92,239 responses from 175 participants on their perception of pairs of real recordings, voice clones, and continuously morphed voices drawn from 100 contemporary celebrities across 20 speaker groups. We find that voice clones do not reliably preserve perceived speaker identity, reducing same-speaker judgments by 12.7 percentage points even though the clones are produced by a state-of-the-art text-to-speech model, while leaving different-speaker judgments unchanged. Using continuously morphed stimuli, we find that speakers vary substantially in how much variation their perceived identity tolerates, and that this variation is not predicted by speaker demographics. Speaker embeddings account for 58.9\% (95\% CI = [55.7, 61.9]) of variance in identity judgments, which is more than acoustic features, social attributes, and clone status combined. Once all these observed features are accounted for, clone status adds no additional predictive power. These results shows that the perceptual impact of voice cloning is positional rather than categorical: we can model how listeners judge a voice by how close it falls to the perceptual boundary that defines each speaker's recognizable voice, applying the same criterion to real and synthetic speech alike.
DATA SCIENCE NIGHTS are monthly meetings featuring presentations and discussions about data-driven science and complex systems, organized by Northwestern University graduate students and scholars. Students and researchers of all levels are welcome! For more information: http://bit.ly/nico-dsn
FUTURE DATES:
Data Science Nights will return in September!
Time
Thursday, May 28, 2026 at 5:30 PM - 7:00 PM
Location
M416, Technological Institute Map
Contact
Calendar
Northwestern Institute on Complex Systems (NICO)
Spring 2026 Commencement
University Academic Calendar
All Day
Details
Spring 2026 Commencement
Time
Sunday, June 14, 2026
Contact
Calendar
University Academic Calendar
Juneteenth - University Closed
University Academic Calendar
All Day
Details
Juneteenth - University Closed
Time
Friday, June 19, 2026
Contact
Calendar
University Academic Calendar
Independence Day (observed) - University Closed
University Academic Calendar
All Day
Details
Independence Day (observed) - University Closed
Time
Friday, July 3, 2026
Contact
Calendar
University Academic Calendar
Fall 2026 Classes Begin
University Academic Calendar
All Day
Details
Fall 2026 Classes Begin
Time
Wednesday, September 23, 2026
Contact
Calendar
University Academic Calendar