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Finding a roadmap to achieve large neuromorphic hardware systems

Overview of attention for article published in Frontiers in Neuroscience, January 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
1 news outlet
blogs
5 blogs
twitter
28 X users
googleplus
20 Google+ users
q&a
1 Q&A thread

Citations

dimensions_citation
336 Dimensions

Readers on

mendeley
357 Mendeley
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Title
Finding a roadmap to achieve large neuromorphic hardware systems
Published in
Frontiers in Neuroscience, January 2013
DOI 10.3389/fnins.2013.00118
Pubmed ID
Authors

Jennifer Hasler, Bo Marr

Abstract

Neuromorphic systems are gaining increasing importance in an era where CMOS digital computing techniques are reaching physical limits. These silicon systems mimic extremely energy efficient neural computing structures, potentially both for solving engineering applications as well as understanding neural computation. Toward this end, the authors provide a glimpse at what the technology evolution roadmap looks like for these systems so that Neuromorphic engineers may gain the same benefit of anticipation and foresight that IC designers gained from Moore's law many years ago. Scaling of energy efficiency, performance, and size will be discussed as well as how the implementation and application space of Neuromorphic systems are expected to evolve over time.

X Demographics

X Demographics

The data shown below were collected from the profiles of 28 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 357 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 2%
Japan 4 1%
United Kingdom 3 <1%
Switzerland 2 <1%
Ireland 1 <1%
Italy 1 <1%
Sweden 1 <1%
Brazil 1 <1%
Korea, Republic of 1 <1%
Other 4 1%
Unknown 333 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 92 26%
Researcher 81 23%
Student > Master 43 12%
Student > Bachelor 19 5%
Professor 17 5%
Other 51 14%
Unknown 54 15%
Readers by discipline Count As %
Engineering 138 39%
Physics and Astronomy 51 14%
Computer Science 39 11%
Materials Science 21 6%
Neuroscience 17 5%
Other 29 8%
Unknown 62 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 91. 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 18 May 2021.
All research outputs
#474,064
of 25,711,518 outputs
Outputs from Frontiers in Neuroscience
#202
of 11,683 outputs
Outputs of similar age
#3,256
of 290,817 outputs
Outputs of similar age from Frontiers in Neuroscience
#9
of 246 outputs
Altmetric has tracked 25,711,518 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,683 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has done particularly well, scoring higher than 98% 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 290,817 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 246 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.