Nonlinear Dynamics Analysis of a Self-Organizing Recurrent Neural Network: Chaos Waning

@inproceedings{Eser2014NonlinearDA,
  title={Nonlinear Dynamics Analysis of a Self-Organizing Recurrent Neural Network: Chaos Waning},
  author={J{\"u}rgen Eser and Pengsheng Zheng and Jochen Triesch},
  booktitle={PloS one},
  year={2014}
}
Self-organization is thought to play an important role in structuring nervous systems. It frequently arises as a consequence of plasticity mechanisms in neural networks: connectivity determines network dynamics which in turn feed back on network structure through various forms of plasticity. Recently, self-organizing recurrent neural network models (SORNs) have been shown to learn non-trivial structure in their inputs and to reproduce the experimentally observed statistics and fluctuations of… CONTINUE READING

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