Differential Equations: The Language of Change
Artem Kirsanov
@artemkirsanovAbout
Exploring how neural systems learn and compute — at the intersection of neuroscience, computer science, and mathematics. Created by a Harvard neuroscience researcher.
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To try everything Brilliant has to offer—free—for a full 30 days, visit https://brilliant.org/ArtemKirsanov . You’ll also get 20% off an annual premium subscription Socials: X/Twitter: https://x.com/ArtemKRSV Patreon: https://patreon.com/artemkirsanov My name is Artem, I'm a graduate student at NYU Center for Neural Science and researcher at Flatiron Institute (Center for Computational Neuroscience). In this video, we explore the fascinating world of dynamical systems and differential equations, powerful tools for understanding how things change over time. We introduce key concepts like state variables, phase portraits, and limit cycles, using intuitive examples such as predator-prey models to visualize complex mathematical ideas. Outline: 00:00 Introduction 01:44 State Variables 04:22 Differential Equations 08:24 Numerical solutions 11:52 Predator-Prey model 15:13 Phase Portraits 16:49 Equilibrium points & Stability 18:51 Limit Cycles 20:19 Conclusion 21:25 Sponsor: Brilliant.org 22:48 Outro This video was sponsored by Brilliant
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