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Symmetry, Stereotypy, and Topography of Odorant Representations in Mouse Olfactory Bulbs

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Belluscio, Leonardo, Katz, Lawrence C.·2001·The Journal of Neuroscience

Abstract

The molecular basis of vertebrate odorant representations has been derived extensively from mice. The functional correlates of these molecular features were visualized using optical imaging of intrinsic signals in mouse olfactory bulbs. Single odorants activated clusters of glomeruli in consistent, restricted portions of the bulb. Patterns of activated glomeruli were clearly bilaterally symmetric and consistent in different individual mice, but the precise number, position, and intensity of activated glomeruli in the two bulbs of the same individual and between individuals varied considerably. Representations of aliphatic aldehydes of different carbon chain length shifted systematically along a rostral–caudal strip of the dorsal bulb, indicating a functional topography of odorant representations. Binary mixtures of individual aldehydes elicited patterns of glomerular activation that were topographic combinations of the maps for each individual odor. Thus the principles derived from the molecular organization of a small subset of murine olfactory receptor neuron projection patterns—bilateral symmetry, local clustering, and local variability—are reliable guides to the initial functional representation of odorant molecules.

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Metadata

Authors
Belluscio, L., & Katz, L. C.
Venue
The Journal of Neuroscience
Published
2001-03-15
Volume
21
Issue
6
Pages
2113-2122
ISSN
  • 0270-6474 (ISSN-L)
  • 1529-2401
OpenAlex
W1664434196
Cited by
210
References
0
FWCI
9.02
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Symmetry, Stereotypy, and Topography of Odorant Representations in Mouse Olfactory Bulbs. https://app.cochat.ai/papers/10.1523/jneurosci.21-06-02113.2001
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Belluscio, L., & Katz, L. C. (2001). Symmetry, Stereotypy, and Topography of Odorant Representations in Mouse Olfactory Bulbs. The Journal of Neuroscience. https://doi.org/10.1523/jneurosci.21-06-02113.2001

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.