Learning spatio-temporal patterns in the presence of input noise using phase-change memristors

@article{Wozniak2016LearningSP,
  title={Learning spatio-temporal patterns in the presence of input noise using phase-change memristors},
  author={Stanislaw Wozniak and Tomas Tuma and Angeliki Pantazi and Evangelos Eleftheriou},
  journal={2016 IEEE International Symposium on Circuits and Systems (ISCAS)},
  year={2016},
  pages={365-368}
}
Neuromorphic systems increasingly attract research interest owing to their ability to provide biologically inspired methods of computing, alternative to the classic von Neumann architecture. In these systems, computing relies on spike-based communication between neurons, and memory is represented by evolving states of the synaptic interconnections. In this work, we first demonstrate how spike-timing-dependent plasticity (STDP) based synapses can be realized using the crystal-growth dynamics of… CONTINUE READING

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