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Evaluating causal relations in neural systems: Granger causality, directed transfer function and statistical assessment of significance

Overview of attention for article published in Biological Cybernetics, August 2001
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Title
Evaluating causal relations in neural systems: Granger causality, directed transfer function and statistical assessment of significance
Published in
Biological Cybernetics, August 2001
DOI 10.1007/s004220000235
Pubmed ID
Authors

Maciej Kamiński, Mingzhou Ding, Wilson A. Truccolo, Steven L. Bressler

Abstract

We consider the question of evaluating causal relations among neurobiological signals. In particular, we study the relation between the directed transfer function (DTF) and the well-accepted Granger causality, and show that DTF can be interpreted within the framework of Granger causality. In addition, we propose a method to assess the significance of causality measures. Finally, we demonstrate the applications of these measures to simulated data and actual neurobiological recordings.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 760 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 27 4%
Germany 11 1%
United Kingdom 7 <1%
Canada 5 <1%
France 4 <1%
Italy 3 <1%
Switzerland 3 <1%
Brazil 2 <1%
Sweden 2 <1%
Other 15 2%
Unknown 681 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 229 30%
Researcher 171 23%
Student > Master 94 12%
Professor > Associate Professor 41 5%
Student > Bachelor 37 5%
Other 125 16%
Unknown 63 8%
Readers by discipline Count As %
Engineering 173 23%
Agricultural and Biological Sciences 115 15%
Neuroscience 93 12%
Computer Science 69 9%
Psychology 47 6%
Other 146 19%
Unknown 117 15%
Attention Score in Context

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 19 April 2013.
All research outputs
#7,454,951
of 22,790,780 outputs
Outputs from Biological Cybernetics
#185
of 675 outputs
Outputs of similar age
#12,668
of 38,332 outputs
Outputs of similar age from Biological Cybernetics
#1
of 3 outputs
Altmetric has tracked 22,790,780 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 675 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
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 38,332 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
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