Bitte melden Sie sich an um selbst Rezensionen oder Kommentare zu erstellen.
Zitieren Sie diese Publikation
Mehr Zitationsstile
- bitte auswählen -
%0 Report
%1 bb89e1068e834d31b3b94acd739270a3
%A Schöne, Mark
%A Sushma, Neeraj Mohan
%A Zhuge, Jingyue
%A Mayr, Christian
%A Subramoney, Anand
%A Kappel, David
%D 2024
%K FIS_scads imported topic_neuroinspired yaff
%R 10.48550/arXiv.2404.18508
%T Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models
@techreport{bb89e1068e834d31b3b94acd739270a3,
added-at = {2024-11-28T16:27:18.000+0100},
author = {Sch{\"o}ne, Mark and Sushma, {Neeraj Mohan} and Zhuge, Jingyue and Mayr, Christian and Subramoney, Anand and Kappel, David},
biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/2611b99ad22afd045dabc95339e537798/scadsfct},
doi = {10.48550/arXiv.2404.18508},
interhash = {4077b5efe228e2e25c3d6852624f627d},
intrahash = {611b99ad22afd045dabc95339e537798},
keywords = {FIS_scads imported topic_neuroinspired yaff},
language = {English},
timestamp = {2025-07-29T10:29:43.000+0200},
title = {Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models},
type = {WorkingPaper},
year = 2024
}
