New Results
Sparse RNNs can support high-capacity classification
View ORCID ProfileDenis Turcu, L. F. Abbott
doi: https://doi.org/10.1101/2022.05.18.492540
Denis Turcu
The Mortimer B. Zuckerman Mind, Brain and Behavior Institute, Department of Neuroscience, Department of Physiology and Cellular Biophysics, Columbia University, New York NY 10027 USA
L. F. Abbott
The Mortimer B. Zuckerman Mind, Brain and Behavior Institute, Department of Neuroscience, Department of Physiology and Cellular Biophysics, Columbia University, New York NY 10027 USA
Posted May 19, 2022.
Sparse RNNs can support high-capacity classification
Denis Turcu, L. F. Abbott
bioRxiv 2022.05.18.492540; doi: https://doi.org/10.1101/2022.05.18.492540
Subject Area
Subject Areas
- Biochemistry (9184)
- Bioengineering (6808)
- Bioinformatics (24072)
- Biophysics (12167)
- Cancer Biology (9570)
- Cell Biology (13847)
- Clinical Trials (138)
- Developmental Biology (7666)
- Ecology (11742)
- Epidemiology (2066)
- Evolutionary Biology (15548)
- Genetics (10676)
- Genomics (14372)
- Immunology (9523)
- Microbiology (22923)
- Molecular Biology (9140)
- Neuroscience (49175)
- Paleontology (358)
- Pathology (1488)
- Pharmacology and Toxicology (2584)
- Physiology (3851)
- Plant Biology (8356)
- Synthetic Biology (2302)
- Systems Biology (6207)
- Zoology (1304)