Elmoznino, E., & Bonner, M. F. (2024). High-performing neural network models of visual cortex benefit from high latent dimensionality. PLoS Computational Biology, 20(1), 1. https://doi.org/10.1371/journal.pcbi.1011792
Chicago Style (17th ed.) CitationElmoznino, Eric, and Michael F. Bonner. "High-performing Neural Network Models of Visual Cortex Benefit from High Latent Dimensionality." PLoS Computational Biology 20, no. 1 (2024): 1. https://doi.org/10.1371/journal.pcbi.1011792.
MLA (9th ed.) CitationElmoznino, Eric, and Michael F. Bonner. "High-performing Neural Network Models of Visual Cortex Benefit from High Latent Dimensionality." PLoS Computational Biology, vol. 20, no. 1, 2024, p. 1, https://doi.org/10.1371/journal.pcbi.1011792.
Warning: These citations may not always be 100% accurate.