Mathematical Physiology - Spatial Dependence in the FitzHugh-Nagumo Equations - Lecture 6
University of Oxford via YouTube
Learn the Skills Netflix, Meta, and Capital One Actually Hire For
PowerBI Data Analyst - Create visualizations and dashboards from scratch
Overview
Google, IBM & Meta Certificates – 40% Off
One Coursera Plus subscription covers most Professional Certificates on Coursera.
Unlock All Certificates
Explore spatial dependence in the FitzHugh–Nagumo equations through this 51-minute university lecture from Oxford's 4th year Mathematical Physiology course. Delve into how these equations provide a simplified two-dimensional alternative to the complex four-dimensional Hodgkin-Huxley model while preserving the essential characteristics of nerve excitability. Learn how spatial factors influence the behavior of these mathematical models that describe neural dynamics. Examine the analytical advantages of the FitzHugh–Nagumo system and understand how it maintains the key features necessary for modeling nerve cell excitation and propagation. Gain insights into the mathematical techniques used to analyze spatial patterns in physiological systems and discover how dimensionality reduction in mathematical modeling can make complex biological phenomena more tractable for analysis.
Syllabus
Mathematical Physiology, Lecture 6: Spatial dependence in the FitzHugh–Nagumo equations
Taught by
Oxford Mathematics