Fan-In analysis of a leaky integrator circuit using charge transfer synapses
- Submitting institution
-
University of Ulster
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 76629967
- Type
- D - Journal article
- DOI
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10.1016/j.neucom.2018.06.065
- Title of journal
- Neurocomputing
- Article number
- -
- First page
- 78
- Volume
- 314
- Issue
- -
- ISSN
- 0925-2312
- Open access status
- Compliant
- Month of publication
- July
- Year of publication
- 2018
- 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
-
2
- Research group(s)
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A - Intelligent Systems Research Centre
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- <01> This was the first paper to address scalability of neuron models in hardware and the authors were invited to give a talk at the 1st UKCAS Workshop, Circuits and Systems for biomedical applications, Glasgow, 2018. It led to a collaboration between Ulster University and Guangxi Normal University involving Dr. Yuling Luo and Mr. Yongchuang; 10.1016/j.neucom.2020.10.106.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -