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Desynchronization boost by non-uniform coordinated reset stimulation in ensembles of pulse-coupled neurons

Overview of attention for article published in Frontiers in Computational Neuroscience, January 2013
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Title
Desynchronization boost by non-uniform coordinated reset stimulation in ensembles of pulse-coupled neurons
Published in
Frontiers in Computational Neuroscience, January 2013
DOI 10.3389/fncom.2013.00063
Pubmed ID
Authors

Leonhard Lücken, Serhiy Yanchuk, Oleksandr V. Popovych, Peter A. Tass

Abstract

Several brain diseases are characterized by abnormal neuronal synchronization. Desynchronization of abnormal neural synchrony is theoretically compelling because of the complex dynamical mechanisms involved. We here present a novel type of coordinated reset (CR) stimulation. CR means to deliver phase resetting stimuli at different neuronal sub-populations sequentially, i.e., at times equidistantly distributed in a stimulation cycle. This uniform timing pattern seems to be intuitive and actually applies to the neural network models used for the study of CR so far. CR resets the population to an unstable cluster state from where it passes through a desynchronized transient, eventually resynchronizing if left unperturbed. In contrast, we show that the optimal stimulation times are non-uniform. Using the model of weakly pulse-coupled neurons with phase response curves, we provide an approach that enables to determine optimal stimulation timing patterns that substantially maximize the desynchronized transient time following the application of CR stimulation. This approach includes an optimization search for clusters in a low-dimensional pulse coupled map. As a consequence, model-specific non-uniformly spaced cluster states cause considerably longer desynchronization transients. Intriguingly, such a desynchronization boost with non-uniform CR stimulation can already be achieved by only slight modifications of the uniform CR timing pattern. Our results suggest that the non-uniformness of the stimulation times can be a medically valuable parameter in the calibration procedure for CR stimulation, where the latter has successfully been used in clinical and pre-clinical studies for the treatment of Parkinson's disease and tinnitus.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Netherlands 1 3%
Germany 1 3%
Unknown 29 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 28%
Student > Bachelor 5 16%
Student > Master 4 13%
Researcher 4 13%
Student > Doctoral Student 3 9%
Other 4 13%
Unknown 3 9%
Readers by discipline Count As %
Engineering 5 16%
Medicine and Dentistry 4 13%
Neuroscience 4 13%
Agricultural and Biological Sciences 3 9%
Physics and Astronomy 3 9%
Other 6 19%
Unknown 7 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 17 May 2013.
All research outputs
#15,221,667
of 22,710,079 outputs
Outputs from Frontiers in Computational Neuroscience
#850
of 1,336 outputs
Outputs of similar age
#180,863
of 280,734 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#71
of 131 outputs
Altmetric has tracked 22,710,079 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,336 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 35th percentile – i.e., 35% 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 280,734 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 131 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.