ORIGINAL RESEARCH
Published on 25 Oct 2016
Analog Memristive Synapse in Spiking Networks Implementing Unsupervised Learning
doi 10.3389/fnins.2016.00482
- 8,985 views
- 157 citations
- Frontiers in Neuroscience
- Neuromorphic Engineering
- Research Topics
- Enabling technologies for very large-scale synaptic electronics
Enabling technologies for very large-scale synaptic electronics
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Articles
ORIGINAL RESEARCH
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Unsupervised Learning by Spike Timing Dependent Plasticity in Phase Change Memory (PCM) Synapses
doi 10.3389/fnins.2016.00056
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ORIGINAL RESEARCH
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doi 10.3389/fnins.2016.00057
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- 111 citations
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doi 10.3389/fnins.2015.00484
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- 83 citations
ORIGINAL RESEARCH
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doi 10.3389/fnins.2015.00488
- 10,992 views
- 63 citations
ORIGINAL RESEARCH
Published on 02 Oct 2015
Implementation of a spike-based perceptron learning rule using TiO2−x memristors
doi 10.3389/fnins.2015.00357
- 5,529 views
- 37 citations
ORIGINAL RESEARCH
Published on 30 Jun 2015
Single pairing spike-timing dependent plasticity in BiFeO3 memristors with a time window of 25 ms to 125 μs
doi 10.3389/fnins.2015.00227
- 5,757 views
- 60 citations
ORIGINAL RESEARCH
Published on 22 Jul 2014
Brain-like associative learning using a nanoscale non-volatile phase change synaptic device array
doi 10.3389/fnins.2014.00205
- 12,390 views
- 185 citations
ORIGINAL RESEARCH
Published on 22 Jul 2014
Configurable analog-digital conversion using the neural engineering framework
doi 10.3389/fnins.2014.00201
- 8,323 views
- 10 citations
Published in
Frontiers in Neuroscience
- Neuromorphic Engineering
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- 97kTopic views
- 71kArticle views
- 19kArticle downloads