Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Please use this identifier to cite or link to this item:
https://bura.brunel.ac.uk/handle/2438/33268Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Kalganova, T | - |
| dc.contributor.author | Fernandez-Hart, T | - |
| dc.contributor.author | Knight, JC | - |
| dc.coverage.spatial | London, UK | - |
| dc.date.accessioned | 2026-05-11T19:51:29Z | - |
| dc.date.available | 2026-05-11T19:51:29Z | - |
| dc.date.issued | 2026 | - |
| dc.identifier | ORCiD: Tatiana Kalganova https://orcid.org/0000-0003-4859-7152 | - |
| dc.identifier.citation | Kalganova, T., Fernandez-Hart, T. and Knight, J.C. (2026) 'Reduced Precision Online Training for Spiking Neural Networks', in Lecture Notes in Networks and Systems (forthcoming) | en_US |
| dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/33268 | - |
| dc.description | ... | en_US |
| dc.description.abstract | ... | en_US |
| dc.description.sponsorship | ... | en_US |
| dc.format.extent | pp. 1–19 | - |
| dc.format.medium | Print-Electronic | - |
| dc.language.iso | en_US | en_US |
| dc.publisher | Springer Nature | en_US |
| dc.relation.ispartofseries | Lecture Notes in Networks and Systems; | - |
| dc.rights | Copyright © The Author(s), under exclusive license to Springer Nature 2026. This is a pre-copyedited, author-produced version of a book chapter accepted for publication in Lecture Notes in Networks and Systems, following peer review. The final authenticated version is available online at https://doi.org/[insert DOI] (see: https://www.springernature.com/gp/open-science/policies/book-policies). | - |
| dc.rights.uri | https://www.springernature.com/gp/open-science/policies/book-policies | - |
| dc.source | Lecture Notes in Networks and Systems | - |
| dc.source | Lecture Notes in Networks and Systems | - |
| dc.title | Reduced Precision Online Training for Spiking Neural Networks | en_US |
| dc.type | Conference paper | en_US |
| pubs.finish-date | 2026-07-10 | - |
| pubs.finish-date | 2026-07-10 | - |
| pubs.publication-status | Accepted | - |
| pubs.start-date | 2026-07-09 | - |
| pubs.start-date | 2026-07-09 | - |
| dc.rights.holder | The Author(s), under exclusive license to Springer Nature | - |
| dc.contributor.orcid | Kalganova, Tatiana [0000-0003-4859-7152] | - |
| Appears in Collections: | Department of Electronic and Electrical Engineering Embargoed Research Papers | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Embargoed until 11 July 2027. Copyright © The Author(s), under exclusive license to Springer Nature 2026. This is a pre-copyedited, author-produced version of a book chapter accepted for publication in Lecture Notes in Networks and Systems, following peer review. The final authenticated version is available online at https://doi.org/[insert DOI] (see: https://www.springernature.com/gp/open-science/policies/book-policies). | 400.32 kB | Adobe PDF | View/Open |
Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.