Spike-Based Synaptic Plasticity in Silicon: Design, Implementation, Application, and Challenges

@article{Azghadi2014SpikeBasedSP,
  title={Spike-Based Synaptic Plasticity in Silicon: Design, Implementation, Application, and Challenges},
  author={Mostafa Rahimi Azghadi and Nicolangelo Iannella and Said F. Al-Sarawi and Giacomo Indiveri and Derek Abbott},
  journal={Proceedings of the IEEE},
  year={2014},
  volume={102},
  pages={717-737}
}
The ability to carry out signal processing, classification, recognition, and computation in artificial spiking neural networks (SNNs) is mediated by their synapses. In particular, through activity-dependent alteration of their efficacies, synapses play a fundamental role in learning. The mathematical prescriptions under which synapses modify their weights are termed synaptic plasticity rules. These learning rules can be based on abstract computational neuroscience models or on detailed… CONTINUE READING
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