| Title |
Take time: odor coding capacity across sensory neurons increases over time in Drosophila
|
|---|---|
| Published in |
Journal of Comparative Physiology A, August 2017
|
| DOI | 10.1007/s00359-017-1209-1 |
| Pubmed ID | |
| Authors |
Daniel Münch, C. Giovanni Galizia |
| Abstract |
Due to the highly efficient olfactory code, olfactory sensory systems are able to reliably encode enormous numbers of olfactory stimuli. The olfactory code consists of combinatorial activation patterns across sensory neurons, thus its capacity exceeds the number of involved classes of sensory neurons by a manifold. Activation patterns are not static but vary over time, caused by the temporally complex response dynamics of the individual sensory neuron responses. We systematically analyzed the temporal dynamics of olfactory sensory neuron responses to a diverse set of odorants. We find that response dynamics depend on the combination of sensory neuron and odorant and that information about odorant identity can be extracted from the time course of the response. We also show that new response dynamics can arise when mixing two odorants. Our data show that temporal dynamics of odorant responses are able to significantly enhance the coding capacity of olfactory sensory systems. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Argentina | 1 | 20% |
| United States | 1 | 20% |
| Portugal | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 23% |
| Researcher | 5 | 17% |
| Student > Postgraduate | 3 | 10% |
| Student > Master | 3 | 10% |
| Student > Bachelor | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 10 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 9 | 30% |
| Agricultural and Biological Sciences | 7 | 23% |
| Environmental Science | 1 | 3% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Medicine and Dentistry | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 10 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 19 September 2017.
All research outputs
#13,963,964
of 24,698,625 outputs
Outputs from Journal of Comparative Physiology A
#942
of 1,485 outputs
Outputs of similar age
#151,254
of 320,664 outputs
Outputs of similar age from Journal of Comparative Physiology A
#10
of 15 outputs
Altmetric has tracked 24,698,625 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,485 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
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We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.