Learning Beyond Finite Memory in Recurrent Networks of Spiking Neurons

@article{Tio2005LearningBF,
  title={Learning Beyond Finite Memory in Recurrent Networks of Spiking Neurons},
  author={Peter Ti{\~n}o and Ashley J. S. Mills},
  journal={Neural Computation},
  year={2005},
  volume={18},
  pages={591-613}
}
We investigate possibilities of inducing temporal structures without fading memory in recurrent networks of spiking neurons strictly operating in the pulse-coding regime. We extend the existing gradient-based algorithm for training feedforward spiking neuron networks, SpikeProp (Bohte, Kok, & La Poutr, 2002), to recurrent network topologies, so that temporal dependencies in the input stream are taken into account. It is shown that temporal structures with unbounded input memory specified by… CONTINUE READING
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