| Title |
Partial directed coherence: a new concept in neural structure determination
|
|---|---|
| Published in |
Biological Cybernetics, May 2001
|
| DOI | 10.1007/pl00007990 |
| Pubmed ID | |
| Authors |
Luiz A. Baccalá, Koichi Sameshima |
| Abstract |
This paper introduces a new frequency-domain approach to describe the relationships (direction of information flow) between multivariate time series based on the decomposition of multivariate partial coherences computed from multivariate autoregressive models. We discuss its application and compare its performance to other approaches to the problem of determining neural structure relations from the simultaneous measurement of neural electrophysiological signals. The new concept is shown to reflect a frequency-domain representation of the concept of Granger causality. |
Mendeley readers
The data shown below were compiled from readership statistics for 1,054 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 18 | 2% |
| United Kingdom | 12 | 1% |
| Germany | 11 | 1% |
| Brazil | 8 | <1% |
| Japan | 6 | <1% |
| Italy | 5 | <1% |
| Canada | 5 | <1% |
| Spain | 4 | <1% |
| Portugal | 2 | <1% |
| Other | 17 | 2% |
| Unknown | 966 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 295 | 28% |
| Researcher | 224 | 21% |
| Student > Master | 133 | 13% |
| Student > Bachelor | 65 | 6% |
| Student > Doctoral Student | 62 | 6% |
| Other | 166 | 16% |
| Unknown | 109 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 241 | 23% |
| Neuroscience | 149 | 14% |
| Agricultural and Biological Sciences | 134 | 13% |
| Computer Science | 96 | 9% |
| Psychology | 85 | 8% |
| Other | 170 | 16% |
| Unknown | 179 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 May 2022.
All research outputs
#3,907,044
of 26,017,215 outputs
Outputs from Biological Cybernetics
#56
of 686 outputs
Outputs of similar age
#4,292
of 43,975 outputs
Outputs of similar age from Biological Cybernetics
#1
of 5 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 686 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 89% 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 43,975 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 5 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