Spike pattern recognition using artificial neuron and spike-timing-dependent plasticity implemented on a multi-core embedded platform

@article{Grassia2017SpikePR,
  title={Spike pattern recognition using artificial neuron and spike-timing-dependent plasticity implemented on a multi-core embedded platform},
  author={Filippo Grassia and Timoth{\'e}e Levi and Eva Berg Doukkali and Takashi Kohno},
  journal={Artificial Life and Robotics},
  year={2017},
  volume={23},
  pages={200-204}
}
The objective of this work is to use a multi-core embedded platform as computing architectures for neural applications relevant to neuromorphic engineering: e.g., robotics, and artificial and spiking neural networks. Recently, it has been shown how spike-timing-dependent plasticity (STDP) can play a key role in pattern recognition. In particular, multiple… CONTINUE READING