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• A solution to the learning dilemma for recurrent networks of spiking neurons

  Bellec, G., Scherr, F., Subramoney, A., Hajek, E., Salaj, D., Legenstein, R. & Maass, W., 9 Dec 2019, In : bioRxiv - the Preprint Server for Biology. 2019, 31 p.

  Research output: Contribution to journal › Article

  • Recurrent neural networks
  • Reinforcement learning
  • Complex networks
  • Backpropagation
  • Neurons

• Biologically inspired alternatives to backpropagation through time for learning in recurrent neural nets

  Bellec, G., Scherr, F., Hajek, E., Salaj, D., Legenstein, R. & Maass, W., 25 Jan 2019, In : arXiv.org e-Print archive. 2019, p. 1-37 37 p.

  Research output: Contribution to journal › Article

  File

  • Backpropagation
  • Neurons
  • Neural networks
  • Learning algorithms
  • Brain

• Neuromorphic Hardware Learns to Learn

  Bohnstingl, T., Scherr, F., Pehle, C., Meier, K. & Maass, W., 21 May 2019, In : Frontiers in Neuroscience. 2019, 13, p. 1-14 14 p., 483.

  Research output: Contribution to journal › Article

  • Learning
  • Reward
  • Hand
  • Biological Phenomena
  • Entropy

• One-shot learning with spiking neural networks

  Scherr, F., Stöckl, C. & Maass, W., 19 Jun 2020, In : bioRxiv - the Preprint Server for Biology. 2020

  Research output: Contribution to journal › Article

  • Plasticity
  • Neurons
  • Brain
  • Neural networks
  • Hardware

• Reservoirs learn to learn

  Subramoney, A., Scherr, F. & Maass, W., 16 Sep 2019, In : arXiv.org e-Print archive. p. 1-14 14 p.

  Research output: Contribution to journal › Article

  File

  • Liquids
  • Neurons
  • Brain
  • Data storage equipment