Diverse, noisy and parallel: a New Spiking Neural Network approach for humanoid robot control: 2016 International Joint Conference on Neural Networks (IJCNN)

R.D. Azambuja, A. Cangelosi, S.V. Adams

Research output: Contribution to conferencePaperpeer-review

Original languageEnglish
Pages1134-1142
Number of pages9
DOIs
Publication statusPublished - 3 Nov 2016

Keywords

  • Biological neural networks
  • Computational modeling
  • Liquids
  • Neurons
  • Noise measurement
  • Robots
  • Shape
  • BAXTER
  • V-REP
  • humanoid robots
  • liquid state machines
  • parallel
  • processing
  • reservoir computing
  • spiking neural networks

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