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A direct-to-drive neural data acquisition system

Overview of attention for article published in Frontiers in Neural Circuits, September 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

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29 X users

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82 Mendeley
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Title
A direct-to-drive neural data acquisition system
Published in
Frontiers in Neural Circuits, September 2015
DOI 10.3389/fncir.2015.00046
Pubmed ID
Authors

Justin P. Kinney, Jacob G. Bernstein, Andrew J. Meyer, Jessica B. Barber, Marti Bolivar, Bryan Newbold, Jorg Scholvin, Caroline Moore-Kochlacs, Christian T. Wentz, Nancy J. Kopell, Edward S. Boyden

Abstract

Driven by the increasing channel count of neural probes, there is much effort being directed to creating increasingly scalable electrophysiology data acquisition (DAQ) systems. However, all such systems still rely on personal computers for data storage, and thus are limited by the bandwidth and cost of the computers, especially as the scale of recording increases. Here we present a novel architecture in which a digital processor receives data from an analog-to-digital converter, and writes that data directly to hard drives, without the need for a personal computer to serve as an intermediary in the DAQ process. This minimalist architecture may support exceptionally high data throughput, without incurring costs to support unnecessary hardware and overhead associated with personal computers, thus facilitating scaling of electrophysiological recording in the future.

X Demographics

X Demographics

The data shown below were collected from the profiles of 29 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 5%
France 1 1%
Germany 1 1%
China 1 1%
Luxembourg 1 1%
Unknown 74 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 21%
Researcher 16 20%
Student > Master 9 11%
Professor 8 10%
Student > Doctoral Student 7 9%
Other 15 18%
Unknown 10 12%
Readers by discipline Count As %
Engineering 27 33%
Neuroscience 21 26%
Agricultural and Biological Sciences 9 11%
Computer Science 4 5%
Medicine and Dentistry 4 5%
Other 5 6%
Unknown 12 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 22 June 2016.
All research outputs
#2,320,524
of 25,692,343 outputs
Outputs from Frontiers in Neural Circuits
#94
of 1,303 outputs
Outputs of similar age
#29,600
of 277,400 outputs
Outputs of similar age from Frontiers in Neural Circuits
#3
of 26 outputs
Altmetric has tracked 25,692,343 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,303 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has done particularly well, scoring higher than 92% 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 277,400 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 89% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.