Events
Past Event
WED@NICO SEMINAR: Satoru Suzuki, Northwestern University "Some simple rules governing macroscopic oscillatory neural activity in humans"
Northwestern Institute on Complex Systems (NICO)
12:00 PM
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Lower Level, Chambers Hall
Details
Speaker:
Satoru Suzuki, Professor, Department of Pychology, Northwestern University
Title:
Some simple rules governing macroscopic oscillatory neural activity in humans
Abstract:
Oscillatory neural activity is ubiquitous, potentially contributing to neural communications via frequency channels. Extensive research has related oscillatory activities in specific frequency bands and regions to performing specific behavioral functions such as attentional selection, working memory, episodic memory, decision making, motor control, and so on. Our recent EEG-based research focused on a complementary goal of discovering simple rules that may govern the global dynamics of oscillatory neural activity. I will discuss some of the rules we have identified so far, such as: (1) Macroscopic oscillatory synchronizations may change relatively slowly while maintaining maximum entropy on the seconds timescale, (2) Maximal and minimal synchronizations may occur in spatially complementary small-scale and large-scale networks, (3) The global phase organization of oscillatory activities may be controlled by phase reversals in the long-distance frontal-occipital network, and (4) Alpha-band oscillations spontaneously frequency-converge along the frontal-occipital axis, mediated by synergistic interactions, potentially enhancing information flows to and from occipital regions. These simple rules may provide useful macroscopic constraints on computational models. Given that our results are observational, future research is necessary to understand how these rules may contribute to cognition and the maintenance of adaptive, responsive, and/or metastable neural dynamics.
Speaker Bio:
Satoru Suzuki is a Professor and the Director of Graduate Studies at Northwestern’s Department of Psychology. A major goal of his research has been to understand the cortical mechanisms that enable people to perceive coherent global forms from retinal illumination patterns that are often ambiguous as to what meaningful forms and configurations are present. He has used psychophysical paradigms, recently combined with computational modeling, that allow for parametric comparisons of behavioral results with known physiological properties of visual neurons. His research provides insights into the ultimate questions of (1) how neural activity throughout the ventral visual stream generates a seemingly coherent and unitary visual awareness while responding concurrently to different components and aspects of retinal stimulation, and (2) how visual awareness is maintained in a meta-stable state so that it shifts from one coherent scene interpretation to another (driven spontaneously or by attention) at a rate optimized for efficient analyses of the visual environment.
Location:
In person: Chambers Hall, 600 Foster Street, Lower Level
Remote option: https://northwestern.zoom.us/j/99656192503
Passcode: NICO2023
About the Speaker Series:
Wednesdays@NICO is a vibrant weekly seminar series focusing broadly on the topics of complex systems and data science. It brings together attendees ranging from graduate students to senior faculty who span all of the schools across Northwestern, from applied math to sociology to biology and every discipline in-between. Please visit: https://bit.ly/WedatNICO for information on future speakers.
Time
Wednesday, October 11, 2023 at 12:00 PM - 1:00 PM
Location
Lower Level, Chambers Hall Map
Contact
Calendar
Northwestern Institute on Complex Systems (NICO)
Data Science Nights - MAY 2026 - Speaker: Xudong Tang, Computer Science and NICO
Northwestern Institute on Complex Systems (NICO)
5:30 PM
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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
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Spring 2026 Commencement
Time
Sunday, June 14, 2026
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Juneteenth - University Closed
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Juneteenth - University Closed
Time
Friday, June 19, 2026
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Independence Day (observed) - University Closed
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Independence Day (observed) - University Closed
Time
Friday, July 3, 2026
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Fall 2026 Classes Begin
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Fall 2026 Classes Begin
Time
Wednesday, September 23, 2026
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