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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Unsupervised Learning by Spike Timing Dependent Plasticity in Phase Change Memory (PCM) Synapses
|
|---|---|
| Published in |
Frontiers in Neuroscience, March 2016
|
| DOI | 10.3389/fnins.2016.00056 |
| Pubmed ID | |
| Authors |
Stefano Ambrogio, Nicola Ciocchini, Mario Laudato, Valerio Milo, Agostino Pirovano, Paolo Fantini, Daniele Ielmini |
| Abstract |
We present a novel one-transistor/one-resistor (1T1R) synapse for neuromorphic networks, based on phase change memory (PCM) technology. The synapse is capable of spike-timing dependent plasticity (STDP), where gradual potentiation relies on set transition, namely crystallization, in the PCM, while depression is achieved via reset or amorphization of a chalcogenide active volume. STDP characteristics are demonstrated by experiments under variable initial conditions and number of pulses. Finally, we support the applicability of the 1T1R synapse for learning and recognition of visual patterns by simulations of fully connected neuromorphic networks with 2 or 3 layers with high recognition efficiency. The proposed scheme provides a feasible low-power solution for on-line unsupervised machine learning in smart reconfigurable sensors. |
X Demographics
The data shown below were collected from the profiles of 6 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 | 1 | 17% |
| Chile | 1 | 17% |
| Switzerland | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 188 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| Unknown | 185 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 49 | 26% |
| Student > Master | 27 | 14% |
| Researcher | 26 | 14% |
| Student > Doctoral Student | 13 | 7% |
| Student > Bachelor | 10 | 5% |
| Other | 16 | 9% |
| Unknown | 47 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 63 | 34% |
| Materials Science | 22 | 12% |
| Physics and Astronomy | 18 | 10% |
| Computer Science | 7 | 4% |
| Neuroscience | 5 | 3% |
| Other | 15 | 8% |
| Unknown | 58 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 35. 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 24 January 2023.
All research outputs
#1,170,100
of 25,732,188 outputs
Outputs from Frontiers in Neuroscience
#514
of 11,688 outputs
Outputs of similar age
#19,495
of 314,737 outputs
Outputs of similar age from Frontiers in Neuroscience
#4
of 166 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,688 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done particularly well, scoring higher than 95% 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 314,737 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 93% of its contemporaries.
We're also able to compare this research output to 166 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 97% of its contemporaries.