| Title |
Reduction of conductance-based neuron models
|
|---|---|
| Published in |
Biological Cybernetics, March 1992
|
| DOI | 10.1007/bf00197717 |
| Pubmed ID | |
| Authors |
Thomas B. Kepler, L. F. Abbott, Eve Marder |
| Abstract |
We present a scheme for systematically reducing the number of differential equations required for biophysically realistic neuron models. The techniques are general, are designed to be applicable to a large set of such models and retain in the reduced system as high a degree of fidelity to the original system as possible. As examples, we provide reductions of the Hodgkin-Huxley system and the A-current model of Connor et al. (1977). |
Mendeley readers
The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 4 | 3% |
| Germany | 2 | 2% |
| United States | 2 | 2% |
| France | 1 | <1% |
| United Kingdom | 1 | <1% |
| Brazil | 1 | <1% |
| Japan | 1 | <1% |
| Russia | 1 | <1% |
| Unknown | 115 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 36 | 28% |
| Researcher | 25 | 20% |
| Professor | 13 | 10% |
| Student > Bachelor | 11 | 9% |
| Professor > Associate Professor | 9 | 7% |
| Other | 24 | 19% |
| Unknown | 10 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 41 | 32% |
| Neuroscience | 21 | 16% |
| Engineering | 15 | 12% |
| Mathematics | 11 | 9% |
| Physics and Astronomy | 11 | 9% |
| Other | 15 | 12% |
| Unknown | 14 | 11% |
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 29 July 2023.
All research outputs
#7,451,942
of 22,782,096 outputs
Outputs from Biological Cybernetics
#185
of 675 outputs
Outputs of similar age
#5,401
of 18,729 outputs
Outputs of similar age from Biological Cybernetics
#1
of 1 outputs
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So far Altmetric has tracked 675 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
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