Reservoir Computing for Sensory Prediction and Classification in Adaptive Agents

@inproceedings{Weber2008ReservoirCF,
  title={Reservoir Computing for Sensory Prediction and Classification in Adaptive Agents},
  author={Cornelius Weber and Kazuhiro Masui and Norbert Michael Mayer and Jochen Triesch and Minoru Asada},
  year={2008}
}
Artificial neural networks are an in silico laboratory for studying the dynamics of the brain. In recurrent networks, the units’ activations are recurrently fed back into the network. Thereby complex network dynamics emerge that extend over longer time scales than the individual units’ activation time constants. The recurrent echo-state networks with their… CONTINUE READING