%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 topic_neuroinspired FIS_scads imported %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 = {topic_neuroinspired FIS_scads imported}, language = {English}, timestamp = {2024-11-28T17:41:36.000+0100}, title = {Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models}, type = {WorkingPaper}, year = 2024 }