Spike Coding is a neural encoding mechanism within spiking neural networks that specifies how information is represented through the temporal patterns, rates, or identities of discrete spikes, distinguishing it from conventional rate-based coding schemes by leveraging the precise timing of spike events for computational efficiency and biological plausibility.
144
Publications
7.8K
Citations
469
Authors
211
Institutions
Publications per year
2017–2026
56
Parents
Publications
144
Training Spiking Neural Networks Using Lessons From Deep Learning
Jason K. Eshraghian, Max Ward, Emre Neftci et al. · Proceedings of the IEEE · 2023 · 685 citations · Full text
Temporal Coding of Visual Information in the Thalamus
Pamela Reinagel, R. Clay Reid · Journal of Neuroscience · 2000 · 419 citations · Full text
1–5 of 144
Authors
469
- GS
6
h-index
- RE
6
h-index
- SD
5
h-index
- YT
5
h-index
- TH
5
h-index
1–5 of 469
Institutions
211
Centre National de la Recherche Scientifique
Paris, France
10 h-index
22 publications
1.6K citations
Peking University
Beijing, China
7 h-index
25 publications
1.4K citations
Inserm
Paris, France
6 h-index
11 publications
578 citations
University of Cambridge
Cambridge, United Kingdom
6 h-index
20 publications
586 citations
Universidad de Sevilla
Seville, Spain
6 h-index
15 publications
407 citations
University of Tübingen
Tübingen, Germany
5 h-index
8 publications
435 citations
Agency for Science, Technology and Research
Singapore, Singapore
4 h-index
9 publications
389 citations
Institute for Infocomm Research
Singapore, Singapore
3 h-index
7 publications
135 citations
1–8 of 211
Venues
- Journal of Neuroscience
6 publications · 806 citations
6
h-index
- Proceedings of the National Academy of Sciences
PNAS · 5 publications · 320 citations
5
h-index
- Frontiers in Neuroscience
4 publications · 244 citations
4
h-index
- Cell Reports
4 publications · 111 citations
4
h-index
- IEEE Transactions on Neural Networks and Learning Systems
4 publications · 159 citations
4
h-index
1–5