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An FPGA Implementation of a Polychronous Spiking Neural Network with Delay Adaptation

Overview of attention for article published in Frontiers in Neuroscience, January 2013
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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 (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

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1 X user
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4 patents
wikipedia
1 Wikipedia page

Citations

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59 Dimensions

Readers on

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95 Mendeley
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Title
An FPGA Implementation of a Polychronous Spiking Neural Network with Delay Adaptation
Published in
Frontiers in Neuroscience, January 2013
DOI 10.3389/fnins.2013.00014
Pubmed ID
Authors

Runchun Wang, Gregory Cohen, Klaus M. Stiefel, Tara Julia Hamilton, Jonathan Tapson, André van Schaik

Abstract

We present an FPGA implementation of a re-configurable, polychronous spiking neural network with a large capacity for spatial-temporal patterns. The proposed neural network generates delay paths de novo, so that only connections that actually appear in the training patterns will be created. This allows the proposed network to use all the axons (variables) to store information. Spike Timing Dependent Delay Plasticity is used to fine-tune and add dynamics to the network. We use a time multiplexing approach allowing us to achieve 4096 (4k) neurons and up to 1.15 million programmable delay axons on a Virtex 6 FPGA. Test results show that the proposed neural network is capable of successfully recalling more than 95% of all spikes for 96% of the stored patterns. The tests also show that the neural network is robust to noise from random input spikes.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 1%
France 1 1%
Australia 1 1%
Canada 1 1%
Japan 1 1%
United States 1 1%
Unknown 89 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 32%
Researcher 19 20%
Student > Master 8 8%
Student > Doctoral Student 6 6%
Other 6 6%
Other 14 15%
Unknown 12 13%
Readers by discipline Count As %
Engineering 47 49%
Computer Science 16 17%
Neuroscience 7 7%
Agricultural and Biological Sciences 3 3%
Business, Management and Accounting 1 1%
Other 4 4%
Unknown 17 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 12 July 2022.
All research outputs
#3,542,863
of 25,374,917 outputs
Outputs from Frontiers in Neuroscience
#2,864
of 11,541 outputs
Outputs of similar age
#34,774
of 289,007 outputs
Outputs of similar age from Frontiers in Neuroscience
#63
of 246 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,541 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 well, scoring higher than 75% 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 289,007 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 87% 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 gotten more attention than average, scoring higher than 74% of its contemporaries.