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Climbing Fiber Burst Size and Olivary Sub-threshold Oscillations in a Network Setting

Overview of attention for article published in PLoS Computational Biology, December 2012
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Title
Climbing Fiber Burst Size and Olivary Sub-threshold Oscillations in a Network Setting
Published in
PLoS Computational Biology, December 2012
DOI 10.1371/journal.pcbi.1002814
Pubmed ID
Authors

Jornt R. De Gruijl, Paolo Bazzigaluppi, Marcel T. G. de Jeu, Chris I. De Zeeuw

Abstract

The inferior olivary nucleus provides one of the two main inputs to the cerebellum: the so-called climbing fibers. Activation of climbing fibers is generally believed to be related to timing of motor commands and/or motor learning. Climbing fiber spikes lead to large all-or-none action potentials in cerebellar Purkinje cells, overriding any other ongoing activity and silencing these cells for a brief period of time afterwards. Empirical evidence shows that the climbing fiber can transmit a short burst of spikes as a result of an olivary cell somatic spike, potentially increasing the information being transferred to the cerebellum per climbing fiber activation. Previously reported results from in vitro studies suggested that the information encoded in the climbing fiber burst is related to the occurrence of the spike relative to the ongoing sub-threshold membrane potential oscillation of the olivary cell, i.e. that the phase of the oscillation is reflected in the size of the climbing fiber burst. We used a detailed three-compartmental model of an inferior olivary cell to further investigate the possible factors determining the size of the climbing fiber burst. Our findings suggest that the phase-dependency of the burst size is present but limited and that charge flow between soma and dendrite is a major determinant of the climbing fiber burst. From our findings it follows that phenomena such as cell ensemble synchrony can have a big effect on the climbing fiber burst size through dendrodendritic gap-junctional coupling between olivary cells.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 4%
Netherlands 1 1%
Germany 1 1%
Spain 1 1%
United States 1 1%
Unknown 60 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 31%
Student > Ph. D. Student 14 21%
Student > Master 5 7%
Other 4 6%
Student > Bachelor 3 4%
Other 12 18%
Unknown 8 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 25%
Neuroscience 15 22%
Engineering 12 18%
Computer Science 3 4%
Physics and Astronomy 3 4%
Other 7 10%
Unknown 10 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 13 December 2012.
All research outputs
#22,778,604
of 25,394,764 outputs
Outputs from PLoS Computational Biology
#8,570
of 8,964 outputs
Outputs of similar age
#256,315
of 286,429 outputs
Outputs of similar age from PLoS Computational Biology
#118
of 128 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
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