cuSNN

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Paper

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• F. {Paredes Valles}, K. Scheper, and G. {de Croon}, “Unsupervised learning of a hierarchical spiking neural network for optical flow estimation: from events to global motion perception,” Ieee transactions on pattern analysis and machine intelligence, vol. 42 (2020), iss. 8, p. 2051–2064, 2019.
  [Bibtex]

  @article{160fcfa507614338ba72f8cf914add6a,
  author = {{Paredes Valles}, Fede and Kirk Scheper and {de Croon}, Guido},
  doi = {10.1109/TPAMI.2019.2903179},
  issn = {0162-8828},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
  keywords = {Event-based vision, Feature extraction, Motion detection, Neural nets, Neuromorphic computing, Unsupervised learning},
  language = {English},
  month = {March},
  number = {8},
  pages = {2051--2064},
  publisher = {IEEE },
  title = {Unsupervised Learning of a Hierarchical Spiking Neural Network for Optical Flow Estimation: From Events to Global Motion Perception},
  url = {https://research.tudelft.nl/en/publications/unsupervised-learning-of-a-hierarchical-spiking-neural-network-fo},
  volume = {42 (2020)},
  year = {2019}
  }

Code

cuSNN is available on GitHub via the following link: