Emulating short-term synaptic dynamics with memristive devices
- Submitting institution
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The University of Sheffield
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 2469
- Type
- D - Journal article
- DOI
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10.1038/srep18639
- Title of journal
- Scientific Reports
- Article number
- 18639
- First page
- -
- Volume
- 6
- Issue
- -
- ISSN
- 2045-2322
- Open access status
- Out of scope for open access requirements
- Month of publication
- January
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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5
- Research group(s)
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C - Machine Learning
- Citation count
- 63
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This is the first example of a neuromorphic circuit incorporating a memristic device which exploits an undesirable property (volatility of the memristor) for brain-like computation. The work has led to several invited talks, e.g. Beijing Institute of Technology (China), IIT Rourkee (India), MemoCIS workshop 2015 (Portugal), Workshop on Spintronics and Nanomagnetism for Neuromorphic Computing Leeds 2018 (UK), Nature Conference in Neuromorphic Computing 2019 (China). It has also informed a successful EPSRC grant proposal (EP/S009647/1).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -