New Results
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

- Supplementary Notes[supplements/463055_file03.pdf]
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
Subject Area
Subject Areas
- Biochemistry (10761)
- Bioengineering (8025)
- Bioinformatics (27211)
- Biophysics (13947)
- Cancer Biology (11093)
- Cell Biology (16013)
- Clinical Trials (138)
- Developmental Biology (8762)
- Ecology (13252)
- Epidemiology (2067)
- Evolutionary Biology (17329)
- Genetics (11669)
- Genomics (15888)
- Immunology (11003)
- Microbiology (26020)
- Molecular Biology (10618)
- Neuroscience (56393)
- Paleontology (417)
- Pathology (1729)
- Pharmacology and Toxicology (2999)
- Physiology (4533)
- Plant Biology (9599)
- Synthetic Biology (2676)
- Systems Biology (6961)
- Zoology (1508)