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A solution to the learning dilemma for recurrent networks of spiking neurons
Guillaume Bellec, Franz Scherr, Anand Subramoney, Elias Hajek, Darjan Salaj, Robert Legenstein, Wolfgang Maass
doi: https://doi.org/10.1101/738385
Guillaume Bellec
1Institute of Theoretical Computer Science, Graz University of Technology, Inffeldgasse 16b, Graz, Austria
Franz Scherr
1Institute of Theoretical Computer Science, Graz University of Technology, Inffeldgasse 16b, Graz, Austria
Anand Subramoney
1Institute of Theoretical Computer Science, Graz University of Technology, Inffeldgasse 16b, Graz, Austria
Elias Hajek
1Institute of Theoretical Computer Science, Graz University of Technology, Inffeldgasse 16b, Graz, Austria
Darjan Salaj
1Institute of Theoretical Computer Science, Graz University of Technology, Inffeldgasse 16b, Graz, Austria
Robert Legenstein
1Institute of Theoretical Computer Science, Graz University of Technology, Inffeldgasse 16b, Graz, Austria
Wolfgang Maass
1Institute of Theoretical Computer Science, Graz University of Technology, Inffeldgasse 16b, Graz, Austria
Posted December 09, 2019.
A solution to the learning dilemma for recurrent networks of spiking neurons
Guillaume Bellec, Franz Scherr, Anand Subramoney, Elias Hajek, Darjan Salaj, Robert Legenstein, Wolfgang Maass
bioRxiv 738385; doi: https://doi.org/10.1101/738385
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