NeuralCPM learns a neural-network Hamiltonian for cellular Potts simulations from data, and reproduces self-organization dynamics beyond what analytical Hamiltonians achieve.
We distinguish the two scenarios a and b from Edelstein-Keshet & Xiao (2023), characterized by different contact energies between cells, which are laid out in tables 3 and
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Deep Neural Cellular Potts Models
NeuralCPM learns a neural-network Hamiltonian for cellular Potts simulations from data, and reproduces self-organization dynamics beyond what analytical Hamiltonians achieve.