Interpreting the retinal neural code for natural scenes: from computations to neurons, Maheswaranathan et al. 2023
Abstract/Contents
- Abstract
- Data and Software relating to Interpreting the retinal neural code for natural scenes: from computations to neurons, Maheswaranathan et al, 2023
Description
Type of resource | mixed material, Dataset |
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Date created | May 31, 2023 |
Publication date | June 1, 2023; 2023 |
Creators/Contributors
Author | Maheswaranathan, Niru |
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Author | McIntosh, Lane |
Author | Tanaka, Hidenori |
Author | Grant, Satchel |
Author | Kastner, David |
Author | Melander, Joshua |
Author | Nayebi, Aran |
Author | Brezovec, Luke |
Author | Wang, Julia |
Author | Ganguli, Surya |
Author | Baccus, Stephen |
Subjects
Subject | Retina |
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Subject | Computational model |
Subject | Neural Circuit |
Genre | Mixed materials |
Genre | Data |
Genre | Software/code |
Genre | Data sets |
Genre | Dataset |
Bibliographic information
Related item |
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DOI | https://doi.org/10.25740/rk663dm5577 |
Location | https://purl.stanford.edu/rk663dm5577 |
Access conditions
- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
- License
- This work is licensed under a Creative Commons Attribution 4.0 International license (CC BY).
Preferred citation
- Preferred citation
- Maheswaranathan, N., McIntosh, L., Tanaka, H., Grant, S., Kastner, D., Melander, J., Nayebi, A., Brezovec, L., Wang, J. Ganguli, S. Baccus, S. (2023). Interpreting the retinal neural code for natural scenes: from computations to neurons. Stanford Digital Repository. Available at https://purl.stanford.edu/rk663dm5577. https://doi.org/10.25740/rk663dm5577.
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Stanford Research Data
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