Home › Entities › academia › Deep convolutional neural networks, features, and categories perform similarly at explaining primate high-level visual representations

Deep convolutional neural networks, features, and categories perform similarly at explaining primate high-level visual representations

Research article (2018 Conference on Cognitive Computational Neuroscience, 2018) · cited 14× · AI/ML
academia openalex:W2914272364
Press Enter · cited answer in seconds

Deep convolutional neural networks, features, and categories perform similarly at explaining primate high-level visual representations

Summary

Deep convolutional neural networks, features, and categories perform similarly at explaining primate high-level visual representations is a scholarly article[1].

Key Facts

  • Deep convolutional neural networks, features, and categories perform similarly at explaining primate high-level visual representations's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Deep convolutional neural networks, features, and categories perform similarly at explaining primate high-level visual representations. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-convolutional-neural-networks-features-and-categories-perform-similarly-at-explaining-primate-high-level-visual-rep
MLA “Deep convolutional neural networks, features, and categories perform similarly at explaining primate high-level visual representations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-convolutional-neural-networks-features-and-categories-perform-similarly-at-explaining-primate-high-level-visual-rep.
BibTeX @misc{4ortxyz_deep-convolutional-neural-networks-features-and-categories-perform-similarly-at-explaining-primate-high-level-visual-rep_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep convolutional neural networks, features, and categories perform similarly at explaining primate high-level visual representations}}, year = {2026}, url = {https://4ort.xyz/entity/deep-convolutional-neural-networks-features-and-categories-perform-similarly-at-explaining-primate-high-level-visual-rep}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep convolutional neural networks, features, and categories perform similarly at explaining primate high-level visual representations — https://4ort.xyz/entity/deep-convolutional-neural-networks-features-and-categories-perform-similarly-at-explaining-primate-high-level-visual-rep (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/deep-convolutional-neural-networks-features-and-categories-perform-similarly-at-explaining-primate-high-level-visual-rep · Last refreshed: