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Preprint Aug 2026

Adaptive self-organized criticality in deep neural networks

This work shows that the global dynamical state of a deep neural network can be autonomously regulated by purely local homeostatic plasticity, and demonstrates how adaptive self-organization can be implemented in deep neural networks and how local plasticity can control their collective dynamical operating point.

Simon Vock, C. Meisel · 0 citations

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