Supervised Learning in Multilayer Spiking Neural Networks

  title={Supervised Learning in Multilayer Spiking Neural Networks},
  author={Ioana Sporea and Andr{\'e} Gr{\"u}ning},
  journal={Neural Computation},
We introduce a supervised learning algorithm for multilayer spiking neural networks. The algorithm overcomes a limitation of existing learning algorithms: it can be applied to neurons firing multiple spikes in artificial neural networks with hidden layers. It can also, in principle, be used with any linearizable neuron model and allows different coding schemes of spike train patterns. The algorithm is applied successfully to classic linearly nonseparable benchmarks such as the XOR problem and… CONTINUE READING
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