Self-organized chaos through polyhomeostatic optimization.

@article{Markovi2010SelforganizedCT,
  title={Self-organized chaos through polyhomeostatic optimization.},
  author={Dimitrije Markovi{\'c} and Claudius Gros},
  journal={Physical review letters},
  year={2010},
  volume={105 6},
  pages={
          068702
        }
}
The goal of polyhomeostatic control is to achieve a certain target distribution of behaviors, in contrast to homeostatic regulation, which aims at stabilizing a steady-state dynamical state. We consider polyhomeostasis for individual and networks of firing-rate neurons, adapting to achieve target distributions of firing rates maximizing information entropy. We show that any finite polyhomeostatic adaption rate destroys all attractors in Hopfield-like network setups, leading to intermittently… CONTINUE READING

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