About Neural Cellular Automata

Neural Cellular Automata (NCA) combine the local interaction patterns of classical cellular automata with continuous state spaces and learning-inspired update rules.

• Each cell has a continuous state between 0 (dead) and 1 (fully alive)
• Cells interact with their 8 neighbors using growth and decay rules
• Random noise creates organic, evolving patterns
• Click anywhere to inject energy and watch patterns emerge

Inspired by research in differentiable cellular automata and self-organizing systems. Learn more at Distill.pub‘s Growing Neural Cellular Automata