Stationary log-normal distribution of weights stems from spontaneous ordering in adaptive node networks

@inproceedings{Uzan2018StationaryLD,
  title={Stationary log-normal distribution of weights stems from spontaneous ordering in adaptive node networks},
  author={Herut Uzan and Shira Sardi and Amir Goldental and Roni Vardi and Ido Kanter},
  booktitle={Scientific Reports},
  year={2018}
}
Experimental evidence recently indicated that neural networks can learn in a different manner than was previously assumed, using adaptive nodes instead of adaptive links. Consequently, links to a node undergo the same adaptation, resulting in cooperative nonlinear dynamics with oscillating effective link weights. Here we show that the biological reality of stationary log-normal distribution of effective link weights in neural networks is a result of such adaptive nodes, although each effective… CONTINUE READING
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