Theoretical Insights into the Emergence of Form in Organoids
Living tissues grow and organize through a continuous feedback loop between mechanics and biological decision-making. Here, I present a framework that treats each cell as a “computing unit,” making discrete decisions such as division, differentiation, or migration, based on local mechanical and chemical cues. Drawing inspiration from Hopfield networks, we model these decisions as threshold-based rules whose interactions produce emergent, tissue-scale mechanics. This perspective allows us to bridge the gap between the physics of soft matter and the logic of biological computation.