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Weight perturbation learning outperforms node perturbation on broad classes of temporally extended tasks
Paul Züge, Christian Klos, View ORCID ProfileRaoul-Martin Memmesheimer
doi: https://doi.org/10.1101/2021.10.04.463055
Paul Züge
aNeural Network Dynamics and Computation, Institute of Genetics, University of Bonn
Christian Klos
aNeural Network Dynamics and Computation, Institute of Genetics, University of Bonn
Raoul-Martin Memmesheimer
aNeural Network Dynamics and Computation, Institute of Genetics, University of Bonn
Posted October 05, 2021.
Weight perturbation learning outperforms node perturbation on broad classes of temporally extended tasks
Paul Züge, Christian Klos, Raoul-Martin Memmesheimer
bioRxiv 2021.10.04.463055; doi: https://doi.org/10.1101/2021.10.04.463055
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