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Action Potential Waveform Variability Limits Multi-Unit Separation in Freely Behaving Rats

Overview of attention for article published in PLOS ONE, June 2012
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

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1 news outlet
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1 X user
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1 Google+ user

Citations

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33 Dimensions

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101 Mendeley
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Title
Action Potential Waveform Variability Limits Multi-Unit Separation in Freely Behaving Rats
Published in
PLOS ONE, June 2012
DOI 10.1371/journal.pone.0038482
Pubmed ID
Authors

Peter Stratton, Allen Cheung, Janet Wiles, Eugene Kiyatkin, Pankaj Sah, François Windels

Abstract

Extracellular multi-unit recording is a widely used technique to study spontaneous and evoked neuronal activity in awake behaving animals. These recordings are done using either single-wire or multiwire electrodes such as tetrodes. In this study we have tested the ability of single-wire electrodes to discriminate activity from multiple neurons under conditions of varying noise and neuronal cell density. Using extracellular single-unit recording, coupled with iontophoresis to drive cell activity across a wide dynamic range, we studied spike waveform variability, and explored systematic differences in single-unit spike waveform within and between brain regions as well as the influence of signal-to-noise ratio (SNR) on the similarity of spike waveforms. We also modelled spike misclassification for a range of cell densities based on neuronal recordings obtained at different SNRs. Modelling predictions were confirmed by classifying spike waveforms from multiple cells with various SNRs using a leading commercial spike-sorting system. Our results show that for single-wire recordings, multiple units can only be reliably distinguished under conditions of high recording SNR (≥ 4) and low neuronal density (≈ 20,000/ mm(3)). Physiological and behavioural changes, as well as technical limitations typical of awake animal preparations, reduce the accuracy of single-channel spike classification, resulting in serious classification errors. For SNR <4, the probability of misclassifying spikes approaches 100% in many cases. Our results suggest that in studies where the SNR is low or neuronal density is high, separation of distinct units needs to be evaluated with great caution.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 2%
Japan 2 2%
France 2 2%
Portugal 1 <1%
Chile 1 <1%
Switzerland 1 <1%
Colombia 1 <1%
Australia 1 <1%
Italy 1 <1%
Other 2 2%
Unknown 87 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 33%
Researcher 23 23%
Student > Master 12 12%
Professor > Associate Professor 6 6%
Professor 6 6%
Other 11 11%
Unknown 10 10%
Readers by discipline Count As %
Neuroscience 27 27%
Agricultural and Biological Sciences 22 22%
Engineering 20 20%
Physics and Astronomy 5 5%
Medicine and Dentistry 5 5%
Other 8 8%
Unknown 14 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 01 May 2019.
All research outputs
#2,798,711
of 22,668,244 outputs
Outputs from PLOS ONE
#36,254
of 193,511 outputs
Outputs of similar age
#19,229
of 167,155 outputs
Outputs of similar age from PLOS ONE
#604
of 3,847 outputs
Altmetric has tracked 22,668,244 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,511 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done well, scoring higher than 80% 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 167,155 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 3,847 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.