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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Optimal entrainment of heterogeneous noisy neurons
|
|---|---|
| Published in |
Frontiers in Neuroscience, May 2015
|
| DOI | 10.3389/fnins.2015.00192 |
| Pubmed ID | |
| Authors |
Dan Wilson, Abbey B. Holt, Theoden I. Netoff, Jeff Moehlis |
| Abstract |
We develop a methodology to design a stimulus optimized to entrain nonlinear, noisy limit cycle oscillators with uncertain properties. Conditions are derived which guarantee that the stimulus will entrain the oscillators despite these uncertainties. Using these conditions, we develop an energy optimal control strategy to design an efficient entraining stimulus and apply it to numerical models of noisy phase oscillators and to in vitro hippocampal neurons. In both instances, the optimal stimuli outperform other similar but suboptimal entraining stimuli. Because this control strategy explicitly accounts for both noise and inherent uncertainty of model parameters, it could have experimental relevance to neural circuits where robust spike timing plays an important role. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 8% |
| Russia | 1 | 4% |
| Germany | 1 | 4% |
| Unknown | 20 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 25% |
| Researcher | 6 | 25% |
| Student > Master | 4 | 17% |
| Other | 3 | 13% |
| Professor > Associate Professor | 2 | 8% |
| Other | 1 | 4% |
| Unknown | 2 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 5 | 21% |
| Neuroscience | 5 | 21% |
| Agricultural and Biological Sciences | 3 | 13% |
| Computer Science | 3 | 13% |
| Physics and Astronomy | 2 | 8% |
| Other | 4 | 17% |
| Unknown | 2 | 8% |
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 15 May 2015.
All research outputs
#22,756,649
of 25,371,288 outputs
Outputs from Frontiers in Neuroscience
#10,134
of 11,538 outputs
Outputs of similar age
#238,554
of 279,475 outputs
Outputs of similar age from Frontiers in Neuroscience
#102
of 113 outputs
Altmetric has tracked 25,371,288 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 11,538 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. 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 279,475 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 113 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.