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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
Institute of Theoretical Computer Science, Graz University of Technology, Inffeldgasse 16b, Graz, Austria
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Franz Scherr
Institute of Theoretical Computer Science, Graz University of Technology, Inffeldgasse 16b, Graz, Austria
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Anand Subramoney
Institute of Theoretical Computer Science, Graz University of Technology, Inffeldgasse 16b, Graz, Austria
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Elias Hajek
Institute of Theoretical Computer Science, Graz University of Technology, Inffeldgasse 16b, Graz, Austria
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Darjan Salaj
Institute of Theoretical Computer Science, Graz University of Technology, Inffeldgasse 16b, Graz, Austria
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Robert Legenstein
Institute of Theoretical Computer Science, Graz University of Technology, Inffeldgasse 16b, Graz, Austria
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Wolfgang Maass
Institute of Theoretical Computer Science, Graz University of Technology, Inffeldgasse 16b, Graz, Austria
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  • For correspondence: maass@igi.tugraz.at
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Article usage: August 2019 to December 2019

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Posted August 31, 2019.
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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
bioRxiv 738385; doi: https://doi.org/10.1101/738385
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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
bioRxiv 738385; doi: https://doi.org/10.1101/738385

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