most citedEvolving-to-Learn Reinforcement Learning Tasks with Spiking Neural Networks

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

cs.NE2022★ 2 cited

Evolving-to-Learn Reinforcement Learning Tasks with Spiking Neural Networks

J. Lu, J. J. Hagenaars, G. C. H. E. de Croon

Inspired by the natural nervous system, synaptic plasticity rules are applied to train spiking neural networks with local information, making them suitable for online learning on n…