| Home > Publications database > Training Spiking Neural Networks Using Lessons From Deep Learning > print |
| 001 | 1023823 | ||
| 005 | 20250203103458.0 | ||
| 024 | 7 | _ | |a 10.1109/JPROC.2023.3308088 |2 doi |
| 024 | 7 | _ | |a 0018-9219 |2 ISSN |
| 024 | 7 | _ | |a 1558-2256 |2 ISSN |
| 024 | 7 | _ | |a 10.34734/FZJ-2024-01828 |2 datacite_doi |
| 024 | 7 | _ | |a WOS:001066603200001 |2 WOS |
| 037 | _ | _ | |a FZJ-2024-01828 |
| 082 | _ | _ | |a 620 |
| 100 | 1 | _ | |a Eshraghian, Jason K. |0 0000-0002-5832-4054 |b 0 |
| 245 | _ | _ | |a Training Spiking Neural Networks Using Lessons From Deep Learning |
| 260 | _ | _ | |a New York, NY [u.a.] |c 2023 |b Inst. |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1714735590_25114 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 536 | _ | _ | |a 5234 - Emerging NC Architectures (POF4-523) |0 G:(DE-HGF)POF4-5234 |c POF4-523 |f POF IV |x 0 |
| 588 | _ | _ | |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de |
| 700 | 1 | _ | |a Ward, Max |0 P:(DE-HGF)0 |b 1 |
| 700 | 1 | _ | |a Neftci, Emre O. |0 P:(DE-Juel1)188273 |b 2 |
| 700 | 1 | _ | |a Wang, Xinxin |0 0000-0003-0136-5936 |b 3 |
| 700 | 1 | _ | |a Lenz, Gregor |0 0000-0003-0619-3555 |b 4 |
| 700 | 1 | _ | |a Dwivedi, Girish |0 0000-0003-0717-740X |b 5 |
| 700 | 1 | _ | |a Bennamoun, Mohammed |0 0000-0002-6603-3257 |b 6 |
| 700 | 1 | _ | |a Jeong, Doo Seok |0 0000-0001-7954-2213 |b 7 |
| 700 | 1 | _ | |a Lu, Wei D. |0 0000-0003-4731-1976 |b 8 |
| 773 | _ | _ | |a 10.1109/JPROC.2023.3308088 |g Vol. 111, no. 9, p. 1016 - 1054 |0 PERI:(DE-600)2040232-6 |n 9 |p 1016 - 1054 |t Proceedings of the IEEE |v 111 |y 2023 |x 0018-9219 |
| 856 | 4 | _ | |y OpenAccess |u https://juser.fz-juelich.de/record/1023823/files/Training_Spiking_Neural_Networks_Using_Lessons_From_Deep_Learning.pdf |
| 856 | 4 | _ | |y OpenAccess |x icon |u https://juser.fz-juelich.de/record/1023823/files/Training_Spiking_Neural_Networks_Using_Lessons_From_Deep_Learning.gif?subformat=icon |
| 856 | 4 | _ | |y OpenAccess |x icon-1440 |u https://juser.fz-juelich.de/record/1023823/files/Training_Spiking_Neural_Networks_Using_Lessons_From_Deep_Learning.jpg?subformat=icon-1440 |
| 856 | 4 | _ | |y OpenAccess |x icon-180 |u https://juser.fz-juelich.de/record/1023823/files/Training_Spiking_Neural_Networks_Using_Lessons_From_Deep_Learning.jpg?subformat=icon-180 |
| 856 | 4 | _ | |y OpenAccess |x icon-640 |u https://juser.fz-juelich.de/record/1023823/files/Training_Spiking_Neural_Networks_Using_Lessons_From_Deep_Learning.jpg?subformat=icon-640 |
| 909 | C | O | |o oai:juser.fz-juelich.de:1023823 |p openaire |p open_access |p VDB |p driver |p dnbdelivery |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 2 |6 P:(DE-Juel1)188273 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Natural, Artificial and Cognitive Information Processing |1 G:(DE-HGF)POF4-520 |0 G:(DE-HGF)POF4-523 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Neuromorphic Computing and Network Dynamics |9 G:(DE-HGF)POF4-5234 |x 0 |
| 914 | 1 | _ | |y 2024 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |d 2023-08-22 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0160 |2 StatID |b Essential Science Indicators |d 2023-08-22 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1160 |2 StatID |b Current Contents - Engineering, Computing and Technology |d 2023-08-22 |
| 915 | _ | _ | |a Creative Commons Attribution CC BY 4.0 |0 LIC:(DE-HGF)CCBY4 |2 HGFVOC |
| 915 | _ | _ | |a IF >= 20 |0 StatID:(DE-HGF)9920 |2 StatID |b P IEEE : 2022 |d 2023-08-22 |
| 915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b P IEEE : 2022 |d 2023-08-22 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |d 2023-08-22 |
| 915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0113 |2 StatID |b Science Citation Index Expanded |d 2023-08-22 |
| 915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |d 2023-08-22 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |d 2023-08-22 |
| 920 | 1 | _ | |0 I:(DE-Juel1)PGI-15-20210701 |k PGI-15 |l Neuromorphic Software Eco System |x 0 |
| 980 | 1 | _ | |a FullTexts |
| 980 | _ | _ | |a journal |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | _ | _ | |a I:(DE-Juel1)PGI-15-20210701 |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|