Bioinspired networks with nanoscale memristive devices that combine the unsupervised and supervised learning approaches

@article{Querlioz2012BioinspiredNW,
  title={Bioinspired networks with nanoscale memristive devices that combine the unsupervised and supervised learning approaches},
  author={Damien Querlioz and Weisheng Zhao and Philippe Dollfus and Jacques-Olivier Klein and Olivier Bichler and Christian Gamrat},
  journal={2012 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH)},
  year={2012},
  pages={203-210}
}
This work proposes two learning architectures based on memristive nanodevices. First, we present an unsupervised architecture that is capable of discerning characteristic features in unlabeled inputs. The memristive nanodevices are used as synapses and learn thanks to simple voltage pulses which implement a simplified "Spike Timing Dependent Plasticity" rule. With system simulation, the efficiency of this scheme is evidenced in terms of recognition rate on the textbook case of character… CONTINUE READING
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Gamrat, sensors with spike-timing

  • O. Bichler, D. Querlioz, S. J. Thorpe, J.-P. Bourgoin
  • Neural Networks,
  • 2012
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D

  • M. Suri, O. Bichler, D. Querlioz, O. Cueto, L. Perniola, V. Sousa
  • synapse for ultra-dense neuromorphic systems…
  • 2011
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