Lilly Tech Systems
Learn Neuromorphic Computing
Discover brain-inspired computing architectures that process information like biological neural networks. Master spiking neural networks, Intel Loihi, and neuromorphic hardware — all for free.
Your Learning Path
Follow these lessons in order, or jump to any topic that interests you.
1. Introduction
What is neuromorphic computing? Brain-inspired architectures and why they matter for AI.
2. Spiking Neural Networks
SNNs, spike timing, leaky integrate-and-fire neurons, and temporal coding explained.
3. Hardware
Neuromorphic chips, memristors, analog computing, and specialized processor architectures.
4. Intel Loihi
Programming Intel's Loihi neuromorphic processor with Lava framework for real-world tasks.
5. Applications
Robotics, sensory processing, edge AI, and real-world neuromorphic computing use cases.
6. Best Practices
SNN training strategies, hardware selection, power optimization, and production deployment.
What You'll Learn
By the end of this course, you will be able to:
Brain-Inspired Computing
Understand how neuromorphic systems mimic biological neural networks for efficient computation.
Build SNNs
Design and train spiking neural networks using modern frameworks and encoding schemes.
Program Neuromorphic Chips
Deploy models to Intel Loihi and other neuromorphic hardware platforms.
Real-World Applications
Apply neuromorphic computing to robotics, edge AI, and ultra-low-power inference tasks.