Corpus ID: 4394315

Long short-term memory and Learning-to-learn in networks of spiking neurons

@article{Bellec2018LongSM,
  title={Long short-term memory and Learning-to-learn in networks of spiking neurons},
  author={Guillaume Bellec and Darjan Salaj and Anand Subramoney and Robert A. Legenstein and Wolfgang Maass},
  journal={ArXiv},
  year={2018},
  volume={abs/1803.09574}
}
  • Guillaume Bellec, Darjan Salaj, +2 authors Wolfgang Maass
  • Published 2018
  • Computer Science, Biology
  • ArXiv
  • Recurrent networks of spiking neurons (RSNNs) underlie the astounding computing and learning capabilities of the brain. [...] Key Method Rather, RSNNs in the brain were optimized for their tasks through evolution, development, and prior experience. Details of these optimization processes are largely unknown. But their functional contribution can be approximated through powerful optimization methods, such as backpropagation through time (BPTT). A second major mismatch between RSNNs in the brain and models is…Expand Abstract

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