Interpreting the retinal neural code for natural scenes: from computations to neurons, Maheswaranathan et al. 2023

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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
Date created May 31, 2023
Publication date June 1, 2023; 2023

Creators/Contributors

Author Maheswaranathan, Niru
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
Subject Computational model
Subject Neural Circuit
Genre Mixed materials
Genre Data
Genre Software/code
Genre Data sets
Genre Dataset

Bibliographic information

Related item
DOI https://doi.org/10.25740/rk663dm5577
Location https://purl.stanford.edu/rk663dm5577

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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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