Neural Dynamics of Stuttering
Computational modeling of how neural dynamics support fluent speech motor control, and what goes wrong in stuttering. Details will follow publication.
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I take biological learning apart to build machines that learn the same way. Today that means biophysically grounded models of neural dynamics and the analysis of electrophysiological and behavioral time series, aimed at neuromimetic systems that help design treatments for neurological disorders.
Computational modeling of how neural dynamics support fluent speech motor control, and what goes wrong in stuttering. Details will follow publication.
Full pipeline for NeuroPace RNS iEEG, from artifact rejection to theta bouts measured against the aperiodic background and related to behavior.
A real-time Siamese tracker that adapts at test time to adverse visibility on CPU-only edge devices.
Background, education, the full experience trajectory, honors, peer review and toolkit.
ENTER → /researchFifteen projects across neuroscience, signal processing, learning theory, vision and industry, each with a live visual.
ENTER → /publicationsPeer-reviewed papers at WACV, ECCV-W, ISBI and CVPR-W, plus talks and posters.
ENTER →I'm glad to hear about collaborations on neural dynamics, BCI, neuromorphic computing or biologically inspired learning, or just to talk about brains and machines.