New Results
High-performing neural network models of visual cortex benefit from high latent dimensionality
View ORCID ProfileEric Elmoznino, View ORCID ProfileMichael F. Bonner
doi: https://doi.org/10.1101/2022.07.13.499969
Eric Elmoznino
1Department of Cognitive Science, Johns Hopkins University, Baltimore, MD 21218
Michael F. Bonner
1Department of Cognitive Science, Johns Hopkins University, Baltimore, MD 21218
Posted February 11, 2023.
High-performing neural network models of visual cortex benefit from high latent dimensionality
Eric Elmoznino, Michael F. Bonner
bioRxiv 2022.07.13.499969; doi: https://doi.org/10.1101/2022.07.13.499969
Subject Area
Subject Areas
- Biochemistry (11745)
- Bioengineering (8751)
- Bioinformatics (29195)
- Biophysics (14971)
- Cancer Biology (12095)
- Cell Biology (17411)
- Clinical Trials (138)
- Developmental Biology (9421)
- Ecology (14178)
- Epidemiology (2067)
- Evolutionary Biology (18306)
- Genetics (12245)
- Genomics (16801)
- Immunology (11867)
- Microbiology (28083)
- Molecular Biology (11592)
- Neuroscience (60965)
- Paleontology (451)
- Pathology (1870)
- Pharmacology and Toxicology (3238)
- Physiology (4959)
- Plant Biology (10427)
- Synthetic Biology (2885)
- Systems Biology (7339)
- Zoology (1651)