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Mendeley readers
Attention Score in Context
| Title |
Measures of Coupling between Neural Populations Based on Granger Causality Principle
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, October 2016
|
| DOI | 10.3389/fncom.2016.00114 |
| Pubmed ID | |
| Authors |
Maciej Kaminski, Aneta Brzezicka, Jan Kaminski, Katarzyna J. Blinowska |
| Abstract |
This paper shortly reviews the measures used to estimate neural synchronization in experimental settings. Our focus is on multivariate measures of dependence based on the Granger causality (G-causality) principle, their applications and performance in respect of robustness to noise, volume conduction, common driving, and presence of a "weak node." Application of G-causality measures to EEG, intracranial signals and fMRI time series is addressed. G-causality based measures defined in the frequency domain allow the synchronization between neural populations and the directed propagation of their electrical activity to be determined. The time-varying G-causality based measure Short-time Directed Transfer Function (SDTF) supplies information on the dynamics of synchronization and the organization of neural networks. Inspection of effective connectivity patterns indicates a modular structure of neural networks, with a stronger coupling within modules than between them. The hypothetical plausible mechanism of information processing, suggested by the identified synchronization patterns, is communication between tightly coupled modules intermitted by sparser interactions providing synchronization of distant structures. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 25% |
| Belgium | 1 | 25% |
| Switzerland | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| China | 1 | 1% |
| Germany | 1 | 1% |
| Unknown | 72 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 26 | 35% |
| Student > Ph. D. Student | 18 | 24% |
| Student > Master | 8 | 11% |
| Student > Bachelor | 4 | 5% |
| Student > Postgraduate | 3 | 4% |
| Other | 7 | 9% |
| Unknown | 9 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 23 | 31% |
| Engineering | 14 | 19% |
| Psychology | 6 | 8% |
| Agricultural and Biological Sciences | 3 | 4% |
| Physics and Astronomy | 3 | 4% |
| Other | 10 | 13% |
| Unknown | 16 | 21% |
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 09 December 2016.
All research outputs
#12,774,596
of 22,896,955 outputs
Outputs from Frontiers in Computational Neuroscience
#444
of 1,347 outputs
Outputs of similar age
#152,521
of 314,045 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#6
of 32 outputs
Altmetric has tracked 22,896,955 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,347 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has gotten more attention than average, scoring higher than 65% 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 314,045 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.