Adaptive nodes enrich nonlinear cooperative learning beyond traditional adaptation by links

@inproceedings{Sardi2018AdaptiveNE,
  title={Adaptive nodes enrich nonlinear cooperative learning beyond traditional adaptation by links},
  author={Shira Sardi and Roni Vardi and Amir Goldental and Anton Sheinin and Herut Uzan and Ido Kanter},
  booktitle={Scientific Reports},
  year={2018}
}
Physical models typically assume time-independent interactions, whereas neural networks and machine learning incorporate interactions that function as adjustable parameters. Here we demonstrate a new type of abundant cooperative nonlinear dynamics where learning is attributed solely to the nodes, instead of the network links which their number is significantly larger. The nodal, neuronal, fast adaptation follows its relative anisotropic (dendritic) input timings, as indicated experimentally… CONTINUE READING
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