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Rafi Haddad is a neuroscientist whose research examines the global structure of olfactory perception. Haddad and colleagues’ work on odor similarity provides evidence that the metric structure of odor space is negatively curved, supporting hyperbolic rather than Euclidean embeddings for modeling olfactory perceptual maps.
@misc{emsenn2026-rafi-haddad,
author = {emsenn},
title = {Rafi Haddad},
year = {2026},
note = {Neuroscientist whose research on global features of odor similarity provides evidence that perceptual odor space has negatively curved (hyperbolic) metric structure.},
url = {https://emsenn.net/library/general/domains/people/rafi-haddad/},
publisher = {emsenn.net},
license = {CC BY-SA 4.0}
}