| Property | Value |
|---|
| Working Groups |  RG Wolf |
| Subproject | C2 |
| Open Access |  Yes |
| Publication Type | Preprint |
| Peer Reviewed | No |
| DOI |  10.48550/arxiv.2312.17216 |
| Publication Year | 2023 |
| Title | SparseProp: Efficient Event-Based Simulation and Training of Sparse Recurrent Spiking Neural Networks |
| Journal | arXiv |
| eISSN | 2331-8422 |
| URL | https://arxiv.org/abs/2312.17216 |
| Journal Abbreviation | arXiv |
| Authors | Engelken R |
| First Author | Engelken R |
| Last Author | Engelken R |
External Resources
arxiv.org/pdf/2312.17216https://arxiv.org/pdf/2312.17216
Article fulltext
gro-2/142418http://resolver.sub.uni-goettingen.de/purl?gro-2/142418
GRO.publications identifier
0000-0001-7118-2129https://orcid.org/0000-0001-7118-2129
ORCID identifier (Rainer Engelken)
920https://prod.mbexc.uni-goettingen.de/literature/publications/920
Published Data Registry entry (MBExC)
0087djs12https://ror.org/0087djs12
ROR identifier (0087djs12, Max Planck Institute for Dynamics and Self Organization)
05xy1nn52https://ror.org/05xy1nn52
ROR identifier (05xy1nn52, Multiscale Bioimaging)
mbexc.de...works/https://mbexc.de/sparseprop-efficient-event-based-simulation-and-training-of-sparse-recurrent-spiking-neural-networks/
Website entry (mbexc.de)
