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: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

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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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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