| Title |
On the significance of correlations among neuronal spike trains
|
|---|---|
| Published in |
Biological Cybernetics, June 1988
|
| DOI | 10.1007/bf00336885 |
| Pubmed ID | |
| Authors |
G. Palm, A. M. H. J. Aertsen, G. L. Gerstein |
| Abstract |
We consider several measures for the correlation of firing activity among different neurons, based on coincidence counts obtained from simultaneously recorded spike trains. We obtain explicit formulae for the probability distributions of these measures. This allows an exact, quantitative assessment of significance levels, and thus a comparison of data obtained in different experimental paradigms. In particular it is possible to compare stimulus-locked, and therefore time dependent correlations for different stimuli and also for different times relative to stimulus onset. This allows to separate purely stimulus-induced correlation from intrinsic interneuronal correlation. It further allows investigation of the dynamic characteristics of the interneuronal correlation. For the display of significance levels or the corresponding probabilities we propose a logarithmic measure, called "surprise". |
Mendeley readers
The data shown below were compiled from readership statistics for 159 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 4% |
| Germany | 4 | 3% |
| France | 3 | 2% |
| Switzerland | 3 | 2% |
| Canada | 3 | 2% |
| Austria | 1 | <1% |
| Brazil | 1 | <1% |
| Japan | 1 | <1% |
| Spain | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 135 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 41 | 26% |
| Researcher | 41 | 26% |
| Professor | 16 | 10% |
| Student > Master | 12 | 8% |
| Professor > Associate Professor | 10 | 6% |
| Other | 27 | 17% |
| Unknown | 12 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 64 | 40% |
| Neuroscience | 29 | 18% |
| Computer Science | 13 | 8% |
| Engineering | 11 | 7% |
| Physics and Astronomy | 7 | 4% |
| Other | 20 | 13% |
| Unknown | 15 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 06 February 2024.
All research outputs
#4,880,234
of 23,485,204 outputs
Outputs from Biological Cybernetics
#100
of 684 outputs
Outputs of similar age
#1,598
of 13,562 outputs
Outputs of similar age from Biological Cybernetics
#1
of 3 outputs
Altmetric has tracked 23,485,204 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 684 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 78% of its peers.
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We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them