Statistical Approaches to Detection and Prediction of Critical Transitions into Epileptic Seizures - Class 2
ICTP-SAIFR via YouTube
Learn AI, Data Science & Business — Earn Certificates That Get You Hired
Become an AI & ML Engineer with Cal Poly EPaCE — IBM-Certified Training
Overview
AI, Data Science & Cloud Certificates from Google, IBM & Meta — 40% Off
One plan covers every Professional Certificate on Coursera. 40% off Coursera Plus Annual.
Unlock All Certificates
Learn about statistical approaches for detecting and predicting critical transitions into epileptic seizures in this lecture from the School on Synchronization: from collective motion to brain dynamics. Professor Klaus Lehnertz from the University of Bonn delivers the second class in a series exploring how statistical methods can be applied to understand and potentially forecast the onset of seizures in epilepsy patients. Part of ICTP-SAIFR's comprehensive program examining synchronization phenomena across different scales - from collective motion to neural dynamics.
Syllabus
Klaus Lehnertz: Statistical approaches to detection and prediction of critical... - Class 2
Taught by
ICTP-SAIFR