Generic noise-enhanced coding in neuronal arrays
Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, ISSN: 1539-3755, Vol: 64, Issue: 3 I, Page: 309021-309024
2001
- 147Citations
- 219Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations147
- Citation Indexes147
- 147
- CrossRef98
- Captures219
- Readers219
- 177
- 41
Article Description
The improvement in signal encoding in neuronal arrays due to the optimizing effect of noise was studied. Stochastic resonance was found to enhance information transmission independent of the stimulus level of the neural threshold. Maximizing the information transmission by adjusting the threshold did not remove the effects of stochastic resonance.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=0035443944&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/11580312; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85035255815&origin=inward; http://dx.doi.org/10.1103/physreve.64.030902; https://link.aps.org/doi/10.1103/PhysRevE.64.030902; http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevE.64.030902/fulltext; http://link.aps.org/article/10.1103/PhysRevE.64.030902
American Physical Society (APS)
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