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Modeling the calcium spike as a threshold triggered fixed waveform for synchronous inputs in the fluctuation regime

Overview of attention for article published in Frontiers in Computational Neuroscience, July 2015
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Title
Modeling the calcium spike as a threshold triggered fixed waveform for synchronous inputs in the fluctuation regime
Published in
Frontiers in Computational Neuroscience, July 2015
DOI 10.3389/fncom.2015.00091
Pubmed ID
Authors

Yansong Chua, Abigail Morrison, Moritz Helias

Abstract

Modeling the layer 5 pyramidal neuron as a system of three connected isopotential compartments, the soma, proximal, and distal compartment, with calcium spike dynamics in the distal compartment following first order kinetics, we are able to reproduce in-vitro experimental results which demonstrate the involvement of calcium spikes in action potentials generation. To explore how calcium spikes affect the neuronal output in-vivo, we emulate in-vivo like conditions by embedding the neuron model in a regime of low background fluctuations with occasional large synchronous inputs. In such a regime, a full calcium spike is only triggered by the synchronous events in a threshold like manner and has a stereotypical waveform. Hence, in such a regime, we are able to replace the calcium dynamics with a simpler threshold triggered current of fixed waveform, which is amenable to analytical treatment. We obtain analytically the mean somatic membrane potential excursion due to a calcium spike being triggered while in the fluctuating regime. Our analytical form that accounts for the covariance between conductances and the membrane potential shows a better agreement with simulation results than a naive first order approximation.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 38%
Researcher 3 23%
Student > Bachelor 2 15%
Student > Master 2 15%
Student > Doctoral Student 1 8%
Other 0 0%
Readers by discipline Count As %
Neuroscience 7 54%
Agricultural and Biological Sciences 4 31%
Mathematics 1 8%
Biochemistry, Genetics and Molecular Biology 1 8%
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 28 July 2015.
All research outputs
#15,289,793
of 22,818,766 outputs
Outputs from Frontiers in Computational Neuroscience
#853
of 1,343 outputs
Outputs of similar age
#153,089
of 263,394 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#25
of 35 outputs
Altmetric has tracked 22,818,766 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 1,343 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 263,394 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.