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.