Home ›
Entities
› academia
› Stereoscopic depth adaptation from binocularly correlated versus anti-correlated noise: Test of an efficient coding theory of stereopsis
Stereoscopic depth adaptation from binocularly correlated versus anti-correlated noise: Test of an efficient coding theory of stereopsis
Research article (Vision Research, 2019) · cited 14× · AI/ML
Stereoscopic depth adaptation from binocularly correlated versus anti-correlated noise: Test of an efficient coding theory of stereopsis
Summary
Stereoscopic depth adaptation from binocularly correlated versus anti-correlated noise: Test of an efficient coding theory of stereopsis is a scholarly article[1].
Key Facts
Stereoscopic depth adaptation from binocularly correlated versus anti-correlated noise: Test of an efficient coding theory of stereopsis's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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.
APA4ort.xyz Knowledge Graph. (2026). Stereoscopic depth adaptation from binocularly correlated versus anti-correlated noise: Test of an efficient coding theory of stereopsis. Retrieved May 24, 2026, from https://4ort.xyz/entity/stereoscopic-depth-adaptation-from-binocularly-correlated-versus-anti-correlated-noise-test-of-an-efficient-coding-theor
MLA“Stereoscopic depth adaptation from binocularly correlated versus anti-correlated noise: Test of an efficient coding theory of stereopsis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/stereoscopic-depth-adaptation-from-binocularly-correlated-versus-anti-correlated-noise-test-of-an-efficient-coding-theor.
BibTeX@misc{4ortxyz_stereoscopic-depth-adaptation-from-binocularly-correlated-versus-anti-correlated-noise-test-of-an-efficient-coding-theor_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Stereoscopic depth adaptation from binocularly correlated versus anti-correlated noise: Test of an efficient coding theory of stereopsis}}, year = {2026}, url = {https://4ort.xyz/entity/stereoscopic-depth-adaptation-from-binocularly-correlated-versus-anti-correlated-noise-test-of-an-efficient-coding-theor}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Stereoscopic depth adaptation from binocularly correlated versus anti-correlated noise: Test of an efficient coding theory of stereopsis — https://4ort.xyz/entity/stereoscopic-depth-adaptation-from-binocularly-correlated-versus-anti-correlated-noise-test-of-an-efficient-coding-theor (retrieved 2026-05-24)