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Cited by 269

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Sparse Odor Coding in Awake Behaving Mice

Open access
Rinberg, Dmitry, Koulakov, Alex, Gelperin, Alan·2006·The Journal of Neuroscience

Abstract

Responses of mitral cells represent the results of the first stage of odor processing in the olfactory bulb. Most of our knowledge about mitral cell activity has been obtained from recordings in anesthetized animals. We compared odor-elicited changes in firing rate of mitral cells in awake behaving mice and in anesthetized mice. We show that odor-elicited changes in mitral cell firing rate were larger and more frequently observed in the anesthetized than in the awake condition. Only 27% of mitral cells that showed a response to odors in the anesthetized state were also odor responsive in the awake state. The amplitude of their response in the awake state was smaller, and some of the responses changed sign compared with their responses in the anesthetized state. The odor representation in the olfactory bulb is therefore sparser in awake behaving mice than in anesthetized preparations. A qualitative explanation of the mechanism responsible for this phenomenon is proposed.

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Crossref · 10.1523/jneurosci.0884-06.2006

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Metadata

Authors
Rinberg, D., Koulakov, A., & Gelperin, A.
Venue
The Journal of Neuroscience
Published
2006-08-23
Volume
26
Issue
34
Pages
8857-8865
ISSN
  • 0270-6474 (ISSN-L)
  • 1529-2401
OpenAlex
W2092762034
Cited by
269
References
2
FWCI
7.10
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Sparse Odor Coding in Awake Behaving Mice. https://app.cochat.ai/papers/10.1523/jneurosci.0884-06.2006
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Rinberg, D., Koulakov, A., & Gelperin, A. (2006). Sparse Odor Coding in Awake Behaving Mice. The Journal of Neuroscience. https://doi.org/10.1523/jneurosci.0884-06.2006

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.