The primacy model and the structure of olfactory space.

Autor: Giaffar H; Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, United States of America., Shuvaev S; Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, United States of America., Rinberg D; Neuroscience Institute, New York University Langone Health, New York, New York, United States of America.; Center for Neural Science, New York University, New York, New York, United States of America., Koulakov AA; Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, United States of America.
Jazyk: angličtina
Zdroj: PLoS computational biology [PLoS Comput Biol] 2024 Sep 10; Vol. 20 (9), pp. e1012379. Date of Electronic Publication: 2024 Sep 10 (Print Publication: 2024).
DOI: 10.1371/journal.pcbi.1012379
Abstrakt: Understanding sensory processing involves relating the stimulus space, its neural representation, and perceptual quality. In olfaction, the difficulty in establishing these links lies partly in the complexity of the underlying odor input space and perceptual responses. Based on the recently proposed primacy model for concentration invariant odor identity representation and a few assumptions, we have developed a theoretical framework for mapping the odor input space to the response properties of olfactory receptors. We analyze a geometrical structure containing odor representations in a multidimensional space of receptor affinities and describe its low-dimensional implementation, the primacy hull. We propose the implications of the primacy hull for the structure of feedforward connectivity in early olfactory networks. We test the predictions of our theory by comparing the existing receptor-ligand affinity and connectivity data obtained in the fruit fly olfactory system. We find that the Kenyon cells of the insect mushroom body integrate inputs from the high-affinity (primacy) sets of olfactory receptors in agreement with the primacy theory.
Competing Interests: The authors have declared that no competing interests exist.
(Copyright: © 2024 Giaffar et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
Databáze: MEDLINE
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