dynamic mode decomposition
Latest
Unravelling bistable perception from human intracranial recordings
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.
Refractory epilepsy patient seizure source localization from ictal sEEG data using dynamic mode decomposition
FENS Forum 2024
dynamic mode decomposition coverage
2 items
Share your knowledge
Know something about dynamic mode decomposition? Help the community by contributing seminars, talks, or research.
Contribute contentExplore how dynamic mode decomposition research is advancing inside Neuroscience.
Visit domain