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Mendeley readers
Attention Score in Context
| Title |
Estimation of Synaptic Conductances in Presence of Nonlinear Effects Caused by Subthreshold Ionic Currents
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, July 2017
|
| DOI | 10.3389/fncom.2017.00069 |
| Pubmed ID | |
| Authors |
Catalina Vich, Rune W. Berg, Antoni Guillamon, Susanne Ditlevsen |
| Abstract |
Subthreshold fluctuations in neuronal membrane potential traces contain nonlinear components, and employing nonlinear models might improve the statistical inference. We propose a new strategy to estimate synaptic conductances, which has been tested using in silico data and applied to in vivo recordings. The model is constructed to capture the nonlinearities caused by subthreshold activated currents, and the estimation procedure can discern between excitatory and inhibitory conductances using only one membrane potential trace. More precisely, we perform second order approximations of biophysical models to capture the subthreshold nonlinearities, resulting in quadratic integrate-and-fire models, and apply approximate maximum likelihood estimation where we only suppose that conductances are stationary in a 50-100 ms time window. The results show an improvement compared to existent procedures for the models tested here. |
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 % |
|---|---|---|
| Denmark | 2 | 40% |
| Belgium | 1 | 20% |
| Germany | 1 | 20% |
| United States | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 41% |
| Professor > Associate Professor | 3 | 18% |
| Professor | 1 | 6% |
| Student > Postgraduate | 1 | 6% |
| Unknown | 5 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 4 | 24% |
| Agricultural and Biological Sciences | 2 | 12% |
| Engineering | 2 | 12% |
| Computer Science | 1 | 6% |
| Social Sciences | 1 | 6% |
| Other | 3 | 18% |
| Unknown | 4 | 24% |
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 27 August 2017.
All research outputs
#12,928,447
of 22,986,950 outputs
Outputs from Frontiers in Computational Neuroscience
#465
of 1,349 outputs
Outputs of similar age
#148,809
of 316,993 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#16
of 34 outputs
Altmetric has tracked 22,986,950 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 1,349 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has gotten more attention than average, scoring higher than 65% 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 316,993 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 52% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.