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Computational modeling suggests distinct, location-specific function of norepinephrine in olfactory bulb and piriform cortex

Overview of attention for article published in Frontiers in Computational Neuroscience, June 2015
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  • High Attention Score compared to outputs of the same age and source (81st percentile)

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Title
Computational modeling suggests distinct, location-specific function of norepinephrine in olfactory bulb and piriform cortex
Published in
Frontiers in Computational Neuroscience, June 2015
DOI 10.3389/fncom.2015.00073
Pubmed ID
Authors

Licurgo de Almeida, Seungdo J. Reiner, Matthew Ennis, Christiane Linster

Abstract

Noradrenergic modulation from the locus coerulus is often associated with the regulation of sensory signal-to-noise ratio. In the olfactory system, noradrenergic modulation affects both bulbar and cortical processing, and has been shown to modulate the detection of low concentration stimuli. We here implemented a computational model of the olfactory bulb and piriform cortex, based on known experimental results, to explore how noradrenergic modulation in the olfactory bulb and piriform cortex interact to regulate odor processing. We show that as predicted by behavioral experiments in our lab, norepinephrine can play a critical role in modulating the detection and associative learning of very low odor concentrations. Our simulations show that bulbar norepinephrine serves to pre-process odor representations to facilitate cortical learning, but not recall. We observe the typical non-uniform dose-response functions described for norepinephrine modulation and show that these are imposed mainly by bulbar, but not cortical processing.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
United States 1 3%
Unknown 29 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 23%
Researcher 5 16%
Professor 4 13%
Student > Master 3 10%
Student > Bachelor 2 6%
Other 8 26%
Unknown 2 6%
Readers by discipline Count As %
Neuroscience 11 35%
Agricultural and Biological Sciences 6 19%
Biochemistry, Genetics and Molecular Biology 2 6%
Engineering 2 6%
Medicine and Dentistry 2 6%
Other 4 13%
Unknown 4 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 26 August 2015.
All research outputs
#6,709,991
of 22,807,037 outputs
Outputs from Frontiers in Computational Neuroscience
#343
of 1,342 outputs
Outputs of similar age
#70,912
of 239,980 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#9
of 49 outputs
Altmetric has tracked 22,807,037 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,342 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has gotten more attention than average, scoring higher than 74% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 239,980 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.