{"main_file_link":[{"open_access":"1","url":"https://www.researchgate.net/publication/374697513_Transforming_Event-Based_into_Spike-Rate_Datasets_for_Enhancing_Neuronal_Behavior_Simulation_to_Bridging_the_Gap_for_SNNs?_sg%5B0%5D=izU9QrvTaPuehxlfAsq6vGLYQpJ6SHS3m0JofXNXsdTiB2FvXRxpS2wGxh-_kJBLSWjBfpAzolF8TYrc9OMGZFni4KrhKKGRd7o4oUgQ.bYlsvJhKewoqbpZAP3BlUxsV998oCSnlcK64PCJYstSZERorOywZv4lpPsroSJVe_kwsbscA_2ImnwZWup9UTA&_tp=eyJjb250ZXh0Ijp7ImZpcnN0UGFnZSI6ImhvbWUiLCJwYWdlIjoicHJvZmlsZSIsInBvc2l0aW9uIjoicGFnZUNvbnRlbnQifX0"}],"year":"2023","conference":{"name":"International Conference on Computer Vision (ICCV) 2023","end_date":"2023-10-6","start_date":"2023-10-2","location":"Paris France"},"date_updated":"2024-04-16T11:13:52Z","type":"conference","author":[{"first_name":"Sanaullah","last_name":"Sanaullah","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0003-4112-802X/work/157718030","orcid":"0000-0003-4112-802X","id":"248865","full_name":"Sanaullah, Sanaullah"},{"full_name":"Koravuna, Shamini","last_name":"Koravuna","first_name":"Shamini"},{"last_name":"Rückert","first_name":"Ulrich","full_name":"Rückert, Ulrich"},{"id":"242294","full_name":"Jungeblut, Thorsten","orcid":"0000-0001-7425-8766","first_name":"Thorsten","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0001-7425-8766/work/157718039","last_name":"Jungeblut"}],"status":"public","user_id":"242294","doi":"10.13140/RG.2.2.14469.32485","place":"Paris France ","oa":"1","date_created":"2023-10-13T19:40:13Z","title":"Transforming Event-Based into Spike-Rate Datasets for Enhancing Neuronal Behavior Simulation to Bridging the Gap for SNNs","_id":"3644","language":[{"iso":"eng"}],"project":[{"_id":"beb248c8-cd75-11ed-b77c-e432b4711f7b","name":"Institut für Systemdynamik und Mechatronik"}],"citation":{"ama":"Sanaullah S, Koravuna S, Rückert U, Jungeblut T. Transforming Event-Based into Spike-Rate Datasets for Enhancing Neuronal Behavior Simulation to Bridging the Gap for SNNs. In: Paris France ; 2023. doi:<a href=\"https://doi.org/10.13140/RG.2.2.14469.32485\">10.13140/RG.2.2.14469.32485</a>","alphadin":"<span style=\"font-variant:small-caps;\">Sanaullah, Sanaullah</span> ; <span style=\"font-variant:small-caps;\">Koravuna, Shamini</span> ; <span style=\"font-variant:small-caps;\">Rückert, Ulrich</span> ; <span style=\"font-variant:small-caps;\">Jungeblut, Thorsten</span>: Transforming Event-Based into Spike-Rate Datasets for Enhancing Neuronal Behavior Simulation to Bridging the Gap for SNNs. In: . Paris France , 2023","apa":"Sanaullah, S., Koravuna, S., Rückert, U., &#38; Jungeblut, T. (2023). Transforming Event-Based into Spike-Rate Datasets for Enhancing Neuronal Behavior Simulation to Bridging the Gap for SNNs. Presented at the International Conference on Computer Vision (ICCV) 2023, Paris France . <a href=\"https://doi.org/10.13140/RG.2.2.14469.32485\">https://doi.org/10.13140/RG.2.2.14469.32485</a>","mla":"Sanaullah, Sanaullah, et al. <i>Transforming Event-Based into Spike-Rate Datasets for Enhancing Neuronal Behavior Simulation to Bridging the Gap for SNNs</i>. 2023, doi:<a href=\"https://doi.org/10.13140/RG.2.2.14469.32485\">10.13140/RG.2.2.14469.32485</a>.","ieee":"S. Sanaullah, S. Koravuna, U. Rückert, and T. Jungeblut, “Transforming Event-Based into Spike-Rate Datasets for Enhancing Neuronal Behavior Simulation to Bridging the Gap for SNNs,” presented at the International Conference on Computer Vision (ICCV) 2023, Paris France, 2023.","chicago":"Sanaullah, Sanaullah, Shamini Koravuna, Ulrich Rückert, and Thorsten Jungeblut. “Transforming Event-Based into Spike-Rate Datasets for Enhancing Neuronal Behavior Simulation to Bridging the Gap for SNNs.” Paris France , 2023. <a href=\"https://doi.org/10.13140/RG.2.2.14469.32485\">https://doi.org/10.13140/RG.2.2.14469.32485</a>.","short":"S. Sanaullah, S. Koravuna, U. Rückert, T. Jungeblut, in: Paris France , 2023.","bibtex":"@inproceedings{Sanaullah_Koravuna_Rückert_Jungeblut_2023, place={Paris France }, title={Transforming Event-Based into Spike-Rate Datasets for Enhancing Neuronal Behavior Simulation to Bridging the Gap for SNNs}, DOI={<a href=\"https://doi.org/10.13140/RG.2.2.14469.32485\">10.13140/RG.2.2.14469.32485</a>}, author={Sanaullah, Sanaullah and Koravuna, Shamini and Rückert, Ulrich and Jungeblut, Thorsten}, year={2023} }"}}