Understand the language of dynamical systems. Analyze nonlinear dynamics and emergent behaviors and build neural models from single Neurons to populations.
Prof. Srinivasa ChakravarthyCo-founder & Chief Scientist, Neurogati. Professor, IIT Madras
The brain exhibits rhythmic activity across multiple spatial and temporal scales, from the oscillations of individual neurons to coordinated activity across neural populations. Understanding these rhythms requires a dynamical systems perspective. This micro-course introduces the mathematical and computational foundations of neural oscillators and their application to modeling brain dynamics.
Build intuition for nonlinear dynamics and phase-plane analysis applied to neural systems.
Scale from single neuron oscillators to ensemble models that mimic real brain rhythms.
Implement oscillatory neuron models and analyse emergent behaviours mathematically.
4 chapters · 6 lessons
Introduction to Neural Oscillators
Co-founder & Chief Scientist, Neurogati. Professor, IIT Madras
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