Research and experiments with Spiking Neural Networks — from neuroscience fundamentals and neuromorphic hardware to hands-on ML implementations.
- SNN Beginner Guide — comprehensive knowledge base covering spiking neuron models, neuromorphic computing, memristors, training methods (STDP, surrogate gradients, ANN-to-SNN conversion), the Legendre Memory Unit, frameworks, and practical project walkthroughs. Illustrated with 14 hand-drawn diagrams.
- References — collected reference links.
- Articles — source transcripts and screenshots from talks and papers used to build the guide.
The documentation/assets/ directory contains full-resolution diagrams used in the guide. A small/ subdirectory (git-ignored) holds resized copies at max 800px — small enough for AI agents to process within context limits.
To regenerate the small versions after adding or updating diagrams:
./documentation/assets/resize.shThis is useful when working with AI coding agents (Copilot, Cursor, etc.) that need to view the images — full-resolution files are often too large for their context windows, but the 800px versions fit comfortably. The guide itself references the full-resolution originals.