SirRoboGarage/RESOURCES.md

Resources

Primary Sources

• SuperSpike paper (Zenke & Ganguli 2018) — The learning rule implemented in the SNN path. Three-factor rule: eligibility trace × error signal.
• Tank Royale API docs — Bot API, game physics, event model.
• Leaky Integrate-and-Fire model — The neuron model used (EPFL textbook, free online).

Codebase

• SNNBot_garage/src/SNNBot.nim — Main bot with SNN and reservoir paths
• SNNBot_garage/src/reservoir.nim — Grid accumulator (current active path)
• SNNBot_garage/tests/test_bullet_economy.nim — Automated battle test

To Explore

• Hebbian learning / STDP for binary spikes
• Hyperdimensional computing for control tasks
• SNNBot_garage/research/binary-snn-learning.md — Research notes (if exists)