{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T16:25:15Z","timestamp":1784219115494,"version":"3.55.0"},"reference-count":63,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2023,8,1]],"date-time":"2023-08-01T00:00:00Z","timestamp":1690848000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,8,1]],"date-time":"2023-08-01T00:00:00Z","timestamp":1690848000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,8,1]],"date-time":"2023-08-01T00:00:00Z","timestamp":1690848000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Beijing Natural Science Foundation for Distinguished Young Scholars","award":["JQ21015"],"award-info":[{"award-number":["JQ21015"]}]},{"name":"National Key R&D Program of China","award":["2018AAA0102600"],"award-info":[{"award-number":["2018AAA0102600"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62236009"],"award-info":[{"award-number":["62236009"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61836004"],"award-info":[{"award-number":["61836004"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U22A20103"],"award-info":[{"award-number":["U22A20103"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2023,8]]},"DOI":"10.1109\/tpami.2023.3241201","type":"journal-article","created":{"date-parts":[[2023,1,31]],"date-time":"2023-01-31T19:39:13Z","timestamp":1675193953000},"page":"9393-9410","source":"Crossref","is-referenced-by-count":249,"title":["Attention Spiking Neural Networks"],"prefix":"10.1109","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0904-8524","authenticated-orcid":false,"given":"Man","family":"Yao","sequence":"first","affiliation":[{"name":"School of Automation Science and Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4140-9681","authenticated-orcid":false,"given":"Guangshe","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Automation Science and Engeneering, Xi’an Jiaotong University, Xi’an, Shaanxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4232-4874","authenticated-orcid":false,"given":"Hengyu","family":"Zhang","sequence":"additional","affiliation":[{"name":"Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7980-6626","authenticated-orcid":false,"given":"Yifan","family":"Hu","sequence":"additional","affiliation":[{"name":"Department of Precision Instrument, Center for Brain-Inspired Computing Research, Tsinghua University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5172-9411","authenticated-orcid":false,"given":"Lei","family":"Deng","sequence":"additional","affiliation":[{"name":"Department of Precision Instrument, Center for Brain-Inspired Computing Research, Tsinghua University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2978-5935","authenticated-orcid":false,"given":"Yonghong","family":"Tian","sequence":"additional","affiliation":[{"name":"Institute for Artificial Intelligence, Peking University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1111-1529","authenticated-orcid":false,"given":"Bo","family":"Xu","sequence":"additional","affiliation":[{"name":"Institute of Automation, Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8994-431X","authenticated-orcid":false,"given":"Guoqi","family":"Li","sequence":"additional","affiliation":[{"name":"Institute of Automation, Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i12.17320"},{"key":"ref57","article-title":"Temporal efficient training of spiking neural network via gradient re-weighting","author":"deng","year":"2022","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref12","article-title":"Advancing residual learning towards powerful deep spiking neural networks","author":"hu","year":"2021"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i1.19874"},{"key":"ref15","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref59","article-title":"MEFNet:: Multi-scale event fusion network for motion deblurring","author":"sun","year":"2021"},{"key":"ref14","article-title":"Deep residual learning in spiking neural networks","author":"fang","year":"2021","journal-title":"Proc 35th Conf Neural Inf Process Syst"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3217796"},{"key":"ref53","first-page":"1419","article-title":"SLAYER: Spike layer error reassignment in time","author":"shrestha","year":"2018","journal-title":"Proc 32nd Int Conf Neural Inf Process Syst"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00266"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-019-1424-8"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01357"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/MM.2018.112130359"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2019.00095"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00676"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref18","article-title":"Is space-time attention all you need for video understanding?","author":"bertasius","year":"2021","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC.2014.6757323"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-021-00397-w"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2018.00331"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2019.09.005"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-vision-082114-035431"},{"key":"ref47","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00314"},{"key":"ref41","first-page":"3436","article-title":"Event-stream representation for human gaits identification using deep neural networks","volume":"44","author":"wang","year":"2022","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/s41095-022-0271-y"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01155"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-psych-122414-033400"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(97)00011-7"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1126\/science.1089662"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1126\/science.1254642"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1038\/nature21056"},{"key":"ref3","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-019-1677-2"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1038\/nature16961"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01006"},{"key":"ref35","article-title":"Optimal conversion of conventional artificial neural networks to spiking neural networks","author":"deng","year":"2021","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref34","first-page":"6316","article-title":"A free lunch from ann: Towards efficient, accurate spiking neural networks calibration","author":"li","year":"2021","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref37","article-title":"Training spiking neural networks using lessons from deep learning","author":"eshraghian","year":"2021"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2019.2931595"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3010201"},{"key":"ref30","first-page":"11 863","article-title":"SimAM: A simple, parameter-free attention module for convolutional neural networks","author":"yang","year":"2021","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-021-00311-4"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3114196"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref1","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2963386"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3008413"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1038\/nature12276"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00400"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.781"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_1"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00060"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-021-98448-0"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s12559-010-9063-2"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-79547-6_6"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.319"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00652"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-019-01283-0"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref62","article-title":"Direct training via backpropagation for ultra-low latency spiking neural networks with multi-threshold","author":"xu","year":"2021"},{"key":"ref61","article-title":"One timestep is all you need: Training spiking neural networks with ultra low latency","author":"chowdhury","year":"2021"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/34\/10169863\/10032591.pdf?arnumber=10032591","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,8]],"date-time":"2024-07-08T17:33:49Z","timestamp":1720460029000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10032591\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,8]]},"references-count":63,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2023.3241201","relation":{},"ISSN":["0162-8828","2160-9292","1939-3539"],"issn-type":[{"value":"0162-8828","type":"print"},{"value":"2160-9292","type":"electronic"},{"value":"1939-3539","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,8]]}}}