{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T20:26:12Z","timestamp":1783628772677,"version":"3.55.0"},"reference-count":55,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"7","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["52175459"],"award-info":[{"award-number":["52175459"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Shenzhen Science and Technology Plan Key Project","award":["JCYJ20241202123501003"],"award-info":[{"award-number":["JCYJ20241202123501003"]}]},{"DOI":"10.13039\/501100001809","name":"Shenzhen Science and Technology Plan Project","doi-asserted-by":"publisher","award":["JCYJ20250604145547061"],"award-info":[{"award-number":["JCYJ20250604145547061"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"Shenzhen Science and Technology Plan Project","doi-asserted-by":"publisher","award":["SYSPG20241211173609005"],"award-info":[{"award-number":["SYSPG20241211173609005"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1109\/tnnls.2025.3650157","type":"journal-article","created":{"date-parts":[[2026,1,12]],"date-time":"2026-01-12T22:01:47Z","timestamp":1768255307000},"page":"3131-3145","source":"Crossref","is-referenced-by-count":0,"title":["HSA\n                    <sup>2<\/sup>\n                    M: Hierarchical Spike Aggregation Activation Map for Visual Explanations From Spiking Neural Networks"],"prefix":"10.1109","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7772-3835","authenticated-orcid":false,"given":"Mingxuan","family":"Yang","sequence":"first","affiliation":[{"name":"School of Intelligent Science and Engineering, Harbin Institute of Technology Shenzhen, Shenzhen, Guangdong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4988-5420","authenticated-orcid":false,"given":"Xiaojun","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Intelligent Science and Engineering, Harbin Institute of Technology Shenzhen, Shenzhen, Guangdong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6524-5741","authenticated-orcid":false,"given":"Michael","family":"Yu Wang","sequence":"additional","affiliation":[{"name":"School of Advanced Engineering, Great Bay University, Dongguan, Guangdong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2019.09.036"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/brainsci12070863"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2023.3308088"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3300514"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3337176"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.52202\/068431-2213"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3008413"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2024.109415"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2024.3353571"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2024.3377717"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2024.3372613"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3711896.3737414"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2023.101805"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.319"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"ref16","article-title":"A novel method for extracting interpretable knowledge from a spiking neural classifier with time-varying synaptic weights","author":"Jeyasothy","year":"2019","journal-title":"arXiv:1904.11367"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-021-98448-0"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CogMI58952.2023.00018"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2019.2931595"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1113\/jphysiol.1962.sp006837"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1093\/cercor\/1.1.1"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2012.01.010"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2018.03.009"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2018.00097"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.5244\/C.34.146"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58555-6_37"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3390\/rs11050544"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00593"},{"key":"ref29","article-title":"Class activation map generation by representative class selection and multi-layer feature fusion","author":"Meng","year":"2019","journal-title":"arXiv:1901.07683"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR48806.2021.9412980"},{"key":"ref31","first-page":"1025","article-title":"Inductive representation learning on large graphs","volume-title":"Proc. 31st Int. Conf. Neural Inf. Process. Syst.","author":"Hamilton"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i7.26002"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00108"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1038\/nrn1519"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.tics.2006.09.005"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW53098.2021.00260"},{"key":"ref37","first-page":"1","article-title":"Critical learning periods in deep networks","volume-title":"Proc. ICLR","author":"Achille"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1611835114"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1162\/089976600300015420"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20053-3_3"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1088\/1742-5468\/abc62e"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.781"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19830-4_20"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3068942"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v40i3.37207"},{"key":"ref47","article-title":"SLTNet: Efficient event-based semantic segmentation with spike-driven lightweight transformer-based networks","author":"Zhu","year":"2024","journal-title":"arXiv:2412.12843"},{"key":"ref48","first-page":"8026","article-title":"PyTorch: An imperative style, high-performance deep learning library","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Paszke"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1126\/sciadv.adi1480"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-3020"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10590-1_53"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.1979.4310076"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2019.8851732"},{"key":"ref54","first-page":"1","article-title":"Explaining and harnessing adversarial examples","volume-title":"Proc. ICLR","author":"Goodfellow"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58526-6_24"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/5962385\/11600559\/11345286.pdf?arnumber=11345286","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T19:44:25Z","timestamp":1783626265000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11345286\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":55,"journal-issue":{"issue":"7"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2025.3650157","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7]]}}}