{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T03:19:45Z","timestamp":1769915985874,"version":"3.49.0"},"reference-count":43,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100007223","name":"TU Wien's Faculty","doi-asserted-by":"publisher","award":["G 1104"],"award-info":[{"award-number":["G 1104"]}],"id":[{"id":"10.13039\/100007223","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,7,18]]},"DOI":"10.1109\/ijcnn52387.2021.9533738","type":"proceedings-article","created":{"date-parts":[[2021,9,20]],"date-time":"2021-09-20T21:27:41Z","timestamp":1632173261000},"page":"1-10","source":"Crossref","is-referenced-by-count":50,"title":["CarSNN: An Efficient Spiking Neural Network for Event-Based Autonomous Cars on the Loihi Neuromorphic Research Processor"],"prefix":"10.1109","author":[{"given":"Alberto","family":"Viale","sequence":"first","affiliation":[{"name":"Technische Universität Wien,Vienna,Austria"}]},{"given":"Alberto","family":"Marchisio","sequence":"additional","affiliation":[{"name":"Technische Universität Wien,Vienna,Austria"}]},{"given":"Maurizio","family":"Martina","sequence":"additional","affiliation":[{"name":"Politecnico di Torino,Turin,Italy"}]},{"given":"Guido","family":"Masera","sequence":"additional","affiliation":[{"name":"Politecnico di Torino,Turin,Italy"}]},{"given":"Muhammad","family":"Shafique","sequence":"additional","affiliation":[{"name":"New York University,Abu Dhabi,UAE"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/MCSE.2010.112"},{"key":"ref38","doi-asserted-by":"crossref","DOI":"10.1126\/science.1254642","article-title":"A million spiking-neuron integrated circuit with a scalable communication network and interface","author":"merolla","year":"2014","journal-title":"Science"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.3389\/fncom.2015.00099"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/SSCI.2017.8285427"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN48605.2020.9207109"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/189"},{"key":"ref37","author":"parisi","year":"2019","journal-title":"Continual lifelong learning with neural networks A review"},{"key":"ref36","article-title":"Spikeprop: backpropagation for networks of spiking neurons","author":"bohte","year":"2000","journal-title":"ESANN"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2019.2931595"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/BIGCOMP.2019.8679157"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2020.3013049"},{"key":"ref40","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"ICLRE"},{"key":"ref11","article-title":"Q-spinn: A framework for quantizing spiking neural networks","author":"putra","year":"2021","journal-title":"IJCNN"},{"key":"ref12","article-title":"Spikedyn: A framework for energy-efficient spiking neural networks with continual and unsupervised learning capabilities in dynamic environments","author":"putra","year":"2021","journal-title":"DAC"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2010.2085952"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.781"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/JETCAS.2020.3032058"},{"key":"ref16","article-title":"SLAYER: Spike layer error reassignment in time","author":"shrestha","year":"2018","journal-title":"NeurIPS"},{"key":"ref17","author":"ghosh","year":"2019","journal-title":"Spatiotemporal filtering for event-based action recognition"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.781"},{"key":"ref19","article-title":"Real-time recognition of dynamic hand postures on a neuromorphic system","author":"liu","year":"2015","journal-title":"IJECE"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/APEIE.2016.7806372"},{"key":"ref4","author":"de tournemire","year":"2020","journal-title":"A large scale event-based detection dataset for automotive"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/NORCHIP.2014.7004745"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00186"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2017.2761740"},{"key":"ref29","article-title":"Spatio-temporal backpropagation for training highperformance spiking neural networks","author":"yujie","year":"2018","journal-title":"Frontiers in Neuroscience"},{"key":"ref5","article-title":"Ddd20 end-to-end event camera driving dataset: Fusing frames and events with deep learning for improved steering prediction","author":"hu","year":"2020","journal-title":"ITSC"},{"key":"ref8","author":"schuman","year":"2017","journal-title":"A survey of neuromorphic computing and neural networks in hardware"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3039858"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MM.2018.112130359"},{"key":"ref9","article-title":"Sparkxd: A framework for resilient and energy-efficient spiking neural network inference using approximate dram","author":"putra","year":"2021","journal-title":"DAC"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC.2006.1696265"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2019.00199"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2014.2346153"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2015.00437"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2574707"},{"key":"ref24","article-title":"Faster r-cnn: Towards real-time object detection with region proposal networks","author":"ren","year":"2015","journal-title":"IEEE TPAMI"},{"key":"ref41","article-title":"Pytorch: An imperative style, high-performance deep learning library","author":"paszke","year":"2019","journal-title":"NeurIPS"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.690"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2018.00774"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/34.41384"},{"key":"ref25","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-662-57715-8","author":"kasabov","year":"2019","journal-title":"Time-Space Spiking Neural Networks and Brain-Inspired Artificial Intelligence"}],"event":{"name":"2021 International Joint Conference on Neural Networks (IJCNN)","location":"Shenzhen, China","start":{"date-parts":[[2021,7,18]]},"end":{"date-parts":[[2021,7,22]]}},"container-title":["2021 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9533266\/9533267\/09533738.pdf?arnumber=9533738","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,3]],"date-time":"2022-11-03T21:30:50Z","timestamp":1667511050000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9533738\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,18]]},"references-count":43,"URL":"https:\/\/doi.org\/10.1109\/ijcnn52387.2021.9533738","relation":{},"subject":[],"published":{"date-parts":[[2021,7,18]]}}}