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Mendeley readers
Attention Score in Context
| Title |
Hierarchical Chunking of Sequential Memory on Neuromorphic Architecture with Reduced Synaptic Plasticity
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, December 2016
|
| DOI | 10.3389/fncom.2016.00136 |
| Pubmed ID | |
| Authors |
Guoqi Li, Lei Deng, Dong Wang, Wei Wang, Fei Zeng, Ziyang Zhang, Huanglong Li, Sen Song, Jing Pei, Luping Shi |
| Abstract |
Chunking refers to a phenomenon whereby individuals group items together when performing a memory task to improve the performance of sequential memory. In this work, we build a bio-plausible hierarchical chunking of sequential memory (HCSM) model to explain why such improvement happens. We address this issue by linking hierarchical chunking with synaptic plasticity and neuromorphic engineering. We uncover that a chunking mechanism reduces the requirements of synaptic plasticity since it allows applying synapses with narrow dynamic range and low precision to perform a memory task. We validate a hardware version of the model through simulation, based on measured memristor behavior with narrow dynamic range in neuromorphic circuits, which reveals how chunking works and what role it plays in encoding sequential memory. Our work deepens the understanding of sequential memory and enables incorporating it for the investigation of the brain-inspired computing on neuromorphic architecture. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 38% |
| Brazil | 2 | 25% |
| Switzerland | 1 | 13% |
| Chile | 1 | 13% |
| Unknown | 1 | 13% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 63% |
| Scientists | 2 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 2% |
| Unknown | 43 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 7 | 16% |
| Student > Ph. D. Student | 6 | 14% |
| Student > Bachelor | 5 | 11% |
| Researcher | 5 | 11% |
| Student > Master | 3 | 7% |
| Other | 8 | 18% |
| Unknown | 10 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 7 | 16% |
| Computer Science | 7 | 16% |
| Psychology | 6 | 14% |
| Physics and Astronomy | 3 | 7% |
| Agricultural and Biological Sciences | 2 | 5% |
| Other | 8 | 18% |
| Unknown | 11 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 29 January 2023.
All research outputs
#4,487,896
of 24,162,843 outputs
Outputs from Frontiers in Computational Neuroscience
#199
of 1,403 outputs
Outputs of similar age
#85,020
of 428,816 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#5
of 35 outputs
Altmetric has tracked 24,162,843 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,403 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done well, scoring higher than 85% 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 428,816 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 80% of its contemporaries.
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 has done well, scoring higher than 88% of its contemporaries.