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Differential Odor Processing in Two Olfactory Pathways in the Honeybee

Overview of attention for article published in Frontiers in Systems Neuroscience, December 2009
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Title
Differential Odor Processing in Two Olfactory Pathways in the Honeybee
Published in
Frontiers in Systems Neuroscience, December 2009
DOI 10.3389/neuro.06.016.2009
Pubmed ID
Authors

Nobuhiro Yamagata, Michael Schmuker, Paul Szyszka, Makoto Mizunami, Randolf Menzel

Abstract

An important component in understanding central olfactory processing and coding in the insect brain relates to the characterization of the functional divisions between morphologically distinct types of projection neurons (PN). Using calcium imaging, we investigated how the identity, concentration and mixtures of odors are represented in axon terminals (boutons) of two types of PNs - lPN and mPN. In lPN boutons we found less concentration dependence, narrow tuning profiles at a high concentration, which may be optimized for fine, concentration-invariant odor discrimination. In mPN boutons, however, we found clear rising concentration dependence, broader tuning profiles at a high concentration, which may be optimized for concentration coding. In addition, we found more mixture suppression in lPNs than in mPNs, indicating lPNs better adaptation for synthetic mixture processing. These results suggest a functional division of odor processing in both PN types.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 13 13%
United States 4 4%
Indonesia 1 1%
United Kingdom 1 1%
Italy 1 1%
Greece 1 1%
China 1 1%
Unknown 76 78%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 31%
Researcher 26 27%
Student > Master 8 8%
Professor 8 8%
Other 4 4%
Other 15 15%
Unknown 7 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 59 60%
Neuroscience 16 16%
Physics and Astronomy 5 5%
Computer Science 3 3%
Engineering 3 3%
Other 4 4%
Unknown 8 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 December 2011.
All research outputs
#17,286,379
of 25,374,647 outputs
Outputs from Frontiers in Systems Neuroscience
#1,017
of 1,407 outputs
Outputs of similar age
#147,715
of 176,905 outputs
Outputs of similar age from Frontiers in Systems Neuroscience
#13
of 22 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,407 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
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We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.