Structure as Computation: Developmental Generation of Minimal Neural Circuits
Researchers simulated cortical development from a single stem cell using gene regulatory rules, generating 85 mature neurons that spontaneously self-organized into a 200k-synapse circuit. The minimal network jumped from chance-level MNIST performance to 89–94% accuracy after one training epoch, demonstrating how developmental constraints can yield efficient learning architectures.
MentionsMNIST · cortical neurogenesis · gene regulatory networks
Read full story at arXiv cs.LG →(arxiv.org)
Modelwire summarizes — we don’t republish. The full article lives on arxiv.org. If you’re a publisher and want a different summarization policy for your work, see our takedown page.