AI models
Sparse coding model for V1 receptive fields
Published
Dec 1, 1997
Sparse coding model for V1 receptive fields is an AI model developed by UC Davis and Cornell University (United States), first published in December 1997. It works in the vision domain, on tasks such as miscellaneous image analysis.
Epoch AI has no training-compute estimate for this model. It was trained on roughly 28.8M datapoints.
The reference paper has 4,257 citations.
Full record
- Organization
- UC Davis, Cornell University
- Country of organization
- United States
- Domain
- Vision
- Task
- Miscellaneous image analysis
- Dataset size
- 28.8M
- Citations
- 4,257
SourceEpoch AI, 'AI Models'. Published online at epoch.ai. Retrieved 2026-07-29 from https://epoch.ai/data/ai-models. Licensed under CC BY 4.0.
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