Science Advances

Supplementary Materials

This PDF file includes:

  • Note S1. STDP characteristics of single RRAM synapse.
  • Note S2. Inference of the network.
  • Note S3. Learning algorithm.
  • Note S4. Hardware implementation of POSTs and weight updates.
  • Fig. S1. Coding methods in SNN.
  • Fig. S2. Neuron and axon circuits.
  • Fig. S3. STDP experiments.
  • Fig. S4. Hardware implementation of the SNN.
  • Fig. S5. Simulation of supervised learning of spatiotemporal patterns.
  • Fig. S6. Experimental demonstration of spatiotemporal learning.
  • Fig. S7. Convergence of the network training for various initial conditions.
  • Fig. S8. Synaptic weight for various initial conditions.
  • Fig. S9. Comparison between POST potential and DL distance.

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