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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Interplay of two signals in a neuron with heterogeneous synaptic short-term plasticity
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, January 2013
|
| DOI | 10.3389/fncom.2013.00086 |
| Pubmed ID | |
| Authors |
Felix Droste, Tilo Schwalger, Benjamin Lindner |
| Abstract |
Signals from different sensory modalities may converge on a single neuron. We study theoretically a setup in which one signal is transmitted via facilitating synapses (F signal) and another via depressing synapses (D signal). When both signals are present, the postsynaptic cell preferentially encodes information about slow components of the F signal and fast components of the D signal, whereas for a single signal, transmission is broadband. We also show that, in the fluctuation-driven regime, the rate of information transmission may be increased through stochastic resonance (SR). Remarkably, the role of the beneficial noise is played by another signal, which is itself represented in the spike train of the postsynaptic cell. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ireland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 28% |
| Student > Master | 4 | 22% |
| Professor | 3 | 17% |
| Researcher | 3 | 17% |
| Professor > Associate Professor | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 2 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 7 | 39% |
| Agricultural and Biological Sciences | 4 | 22% |
| Engineering | 2 | 11% |
| Computer Science | 1 | 6% |
| Physics and Astronomy | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 2 | 11% |
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 18 July 2013.
All research outputs
#20,196,270
of 22,714,025 outputs
Outputs from Frontiers in Computational Neuroscience
#1,157
of 1,336 outputs
Outputs of similar age
#248,772
of 280,752 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#105
of 131 outputs
Altmetric has tracked 22,714,025 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,336 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 280,752 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 131 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.