Growing Isotropic Neural Cellular Automata. (arXiv:2205.01681v1 [cs.NE])

Modeling the ability of multicellular organisms to build and maintain their
bodies through local interactions between individual cells (morphogenesis) is a
long-standing challenge of developmental biology. Recently, the Neural Cellular
Automata (NCA) model was proposed as a way to find local system rules that
produce a desired global behaviour, such as growing and persisting a predefined
pattern, by repeatedly applying the same rule over a grid starting from a
single cell. In this work we argue that the original Growing …

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