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UIOWA
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Schedule
Wednesday, April 6, 2022
1:00 AM America/New_York
Domain
NeuroscienceHost
van Vreeswijk TNS
Duration
70 minutes
Discovering dynamical patterns from high fidelity timeseries is typically a challenging task. In this talk, the timeseries data consist of neural recordings taken from the auditory cortex of human subjects who listened to sequences of repeated triplets of tones and reported their perception by pressing a button. Subjects reported spontaneous alternations between two auditory perceptual states (1-stream and 2-streams). We discuss a data-driven method, which leverages time-delayed coordinates, diffusion maps, and dynamic mode decomposition, to identify neural features that correlated with subject-reported switching between perceptual states.
Rodica Curtu
UIOWA
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