Neural Cellular Automata

Neural Cellular Automata combines the simplicity of cellular automata with the learning capabilities of neural networks. This project explores self-organizing systems where simple local rules, learned through neural networks, give rise to complex global behaviors. Applications include pattern formation, morphogenesis, and adaptive self-repairing systems.

Self-organizing systems combining CAs with neural network learning