| Title |
Modeling neural activity with cumulative damage distributions
|
|---|---|
| Published in |
Biological Cybernetics, May 2015
|
| DOI | 10.1007/s00422-015-0651-9 |
| Pubmed ID | |
| Authors |
Víctor Leiva, Mauricio Tejo, Pierre Guiraud, Oliver Schmachtenberg, Patricio Orio, Fernando Marmolejo-Ramos |
| Abstract |
Neurons transmit information as action potentials or spikes. Due to the inherent randomness of the inter-spike intervals (ISIs), probabilistic models are often used for their description. Cumulative damage (CD) distributions are a family of probabilistic models that has been widely considered for describing time-related cumulative processes. This family allows us to consider certain deterministic principles for modeling ISIs from a probabilistic viewpoint and to link its parameters to values with biological interpretation. The CD family includes the Birnbaum-Saunders and inverse Gaussian distributions, which possess distinctive properties and theoretical arguments useful for ISI description. We expand the use of CD distributions to the modeling of neural spiking behavior, mainly by testing the suitability of the Birnbaum-Saunders distribution, which has not been studied in the setting of neural activity. We validate this expansion with original experimental and simulated electrophysiological data. |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Chile | 1 | 9% |
| Unknown | 10 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 27% |
| Professor > Associate Professor | 3 | 27% |
| Professor | 1 | 9% |
| Researcher | 1 | 9% |
| Student > Ph. D. Student | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 2 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 4 | 36% |
| Neuroscience | 2 | 18% |
| Chemical Engineering | 1 | 9% |
| Philosophy | 1 | 9% |
| Mathematics | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 2 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 24 September 2015.
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#14,163,074
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Outputs of similar age from Biological Cybernetics
#2
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