Neutral Stability, Rate Propagation, and Critical Branching in Feedforward Networks

@article{CaycoGajic2013NeutralSR,
  title={Neutral Stability, Rate Propagation, and Critical Branching in Feedforward Networks},
  author={N. Alex Cayco-Gajic and Eric Shea-Brown},
  journal={Neural Computation},
  year={2013},
  volume={25},
  pages={1768-1806}
}
Recent experimental and computational evidence suggests that several dynamical properties may characterize the operating point of functioning neural networks: critical branching, neutral stability, and production of a wide range of firing patterns. We seek the simplest setting in which these properties emerge, clarifying their origin and relationship in random, feedforward networks of McCullochs-Pitts neurons. Two key parameters are the thresholds at which neurons fire spikes and the overall… 

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