{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,17]],"date-time":"2026-07-17T14:51:40Z","timestamp":1784299900695,"version":"3.55.0"},"reference-count":391,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100014219","name":"National Science Fund for Distinguished Young Scholars","doi-asserted-by":"publisher","award":["62325603"],"award-info":[{"award-number":["62325603"]}],"id":[{"id":"10.13039\/501100014219","id-type":"DOI","asserted-by":"publisher"}]},{"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":["U22A20103"],"award-info":[{"award-number":["U22A20103"]}],"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":["62441606"],"award-info":[{"award-number":["62441606"]}],"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":["62332002"],"award-info":[{"award-number":["62332002"]}],"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":["62027804"],"award-info":[{"award-number":["62027804"]}],"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":["62425101"],"award-info":[{"award-number":["62425101"]}],"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":["62088102"],"award-info":[{"award-number":["62088102"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Beijing Natural Science Foundation for Distinguished Young Scholars","award":["JQ21015"],"award-info":[{"award-number":["JQ21015"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Proc. IEEE"],"published-print":{"date-parts":[[2024,6]]},"DOI":"10.1109\/jproc.2024.3429360","type":"journal-article","created":{"date-parts":[[2024,8,14]],"date-time":"2024-08-14T13:38:48Z","timestamp":1723642728000},"page":"544-584","source":"Crossref","is-referenced-by-count":72,"title":["Brain-Inspired Computing: A Systematic Survey and Future Trends"],"prefix":"10.1109","volume":"112","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8994-431X","authenticated-orcid":false,"given":"Guoqi","family":"Li","sequence":"first","affiliation":[{"name":"Institute of Automation, Chinese Academy of Sciences, 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, Tsinghua University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9857-1543","authenticated-orcid":false,"given":"Huajin","family":"Tang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Brain-Machine Intelligence, College of Computer Science and Technology, MOE Frontier Science Center for Brain Science and Brain-Machine Integration, Zhejiang University, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4049-6181","authenticated-orcid":false,"given":"Gang","family":"Pan","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Brain-Machine Intelligence, College of Computer Science and Technology, MOE Frontier Science Center for Brain Science and Brain-Machine Integration, Zhejiang University, Hangzhou, 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":"Peng Cheng Laboratory, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0735-9695","authenticated-orcid":false,"given":"Kaushik","family":"Roy","sequence":"additional","affiliation":[{"name":"School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1178-087X","authenticated-orcid":false,"given":"Wolfgang","family":"Maass","sequence":"additional","affiliation":[{"name":"School of Computer Science, Graz University of Technology, Graz, Austria"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","volume-title":"Neural\n                        Networks: A Comprehensive Foundation","author":"Haykin","year":"1994"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref3","first-page":"1","article-title":"How to construct deep recurrent neural\n                        networks","volume-title":"Proc. 2nd Int. Conf. Learn.\n                        Represent.","author":"Pascanu"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P14-1062"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2020.107398"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/nature14236"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1162\/neco_a_01199"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.10.013"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s13244-018-0639-9"},{"key":"ref10","volume-title":"U of T Computer Scientist Takes\n                        International Prize for Groundbreaking Work in AI","year":"2017"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.ics.2004.05.134"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/BF03037638"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1038\/323533a0"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1126\/science.1254642"},{"key":"ref15","first-page":"1117","article-title":"Backpropagation for energy-efficient neuromorphic\n                        computing","volume-title":"Proc. Adv. Neural Inf.\n                        Process. Syst.","volume":"28","author":"Esser"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-019-1677-2"},{"key":"ref17","article-title":"A survey of neuromorphic\n                        computing and neural networks in hardware","author":"Schuman","year":"2017","journal-title":"arXiv:1705.06963"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3571155"},{"key":"ref19","volume-title":"Analog\n                        VLSI and Neural Systems","author":"Mead","year":"1989"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2018.12.002"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2016.00508"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065709002002"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1038\/s43588-021-00184-y"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-021-00311-4"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2017.12.005"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2020.00199"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-014-0788-3"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6787"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-020-00237-3"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.2985815"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1126\/scirobotics.abl8419"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00786"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-020-0159-4"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1038\/srep40703"},{"key":"ref35","volume-title":"Viewpoint: Brain 2.0\u2014U.S. Government Pouring Billions Into\n                        Understanding the Genetics of the Human Brain. Rightwing Federalist Society\n                        Raises Dangerous\u2019 Spectre of Government Mind Control","author":"Allen","year":"2022"},{"key":"ref36","volume-title":"Human Brain Project Researchers Identify New Marker of ALS\n                        Outcome","author":"Inchingolo","year":"2022"},{"key":"ref37","volume-title":"China Brain Project","year":"2022"},{"key":"ref38","volume-title":"Japan\u2019s Big Brain Project: Advances Light Up\n                        Marmoset Brains","year":"2020"},{"key":"ref39","volume-title":"Brief Summary of Korea Brain Initiative","year":"2016"},{"key":"ref40","volume-title":"Singapore Scientists Part of Ambitious Project to\n                        Map the Human Brain by 2024","year":"2020"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2015.2474396"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/MM.2018.112130359"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/MM.2021.3061394"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2017.06.011"},{"key":"ref45","volume-title":"SynSense: Make Intelligence Smarter"},{"key":"ref46","first-page":"265","article-title":"TensorFlow: A system for\n                        large-scale machine learning","volume-title":"Proc. 12th\n                        USENIX Symp. Oper. Syst. Design Implement.","author":"Abadi"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.5555\/3454287.3455008"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/MM.2010.41"},{"key":"ref49","article-title":"Spiking deep networks with LIF\n                        neurons","author":"Hunsberger","year":"2015","journal-title":"arXiv:1510.08829"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1113\/jphysiol.1952.sp004764"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2013.11.030"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.7554\/elife.22901"},{"key":"ref53","first-page":"8721","article-title":"Dendritic cortical microcircuits approximate the\n                        backpropagation algorithm","volume-title":"Proc. Adv.\n                        Neural Inf. Process. Syst.","volume":"31","author":"Sacramento"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.3389\/fncom.2015.00099"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-018-0015-y"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2015.7280696"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2017.00682"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2013.00272"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2013.00178"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2015.7280625"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2019.00095"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01357"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i12.17320"},{"key":"ref64","first-page":"21056","article-title":"Deep residual learning in spiking neural\n                        networks","volume-title":"Proc. Adv. Neural Inf. Process.\n                        Syst.","volume":"34","author":"Fang"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2024.3355393"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3241201"},{"key":"ref67","article-title":"Spikformer: When spiking neural network meets\n                        transformer","author":"Zhou","year":"2022","journal-title":"arXiv:2209.15425"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33011311"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01006"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00266"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01212"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2020.08.001"},{"key":"ref73","first-page":"1419","article-title":"SLAYER: Spike layer error reassignment in\n                        time","volume-title":"Proc. Adv. Neural Inf. Process.\n                        Syst.","volume":"31","author":"Shrestha"},{"key":"ref74","first-page":"7005","article-title":"Hybrid macro\/micro level backpropagation for training\n                        deep spiking neural networks","volume-title":"Proc. Adv.\n                        Neural Inf. Process. Syst.","author":"Jin"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2020.00119"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2018.00331"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1162\/089976602760407955"},{"key":"ref78","article-title":"The \u2018echo state\u2019 approach to analysing\n                        and training recurrent neural networks-with an erratum\n                    note","author":"Jaeger","year":"2001"},{"key":"ref79","first-page":"505","article-title":"Spike frequency adaptation implements anticipative\n                        tracking in continuous attractor neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"27","author":"Mi"},{"key":"ref80","first-page":"8057","article-title":"Improved expressivity through dendritic neural\n                        networks","volume-title":"Proc. Adv. Neural Inf. Process.\n                        Syst.","volume":"31","author":"Wu"},{"key":"ref81","first-page":"16131","article-title":"DualNet: Continual learning, fast and\n                        slow","volume-title":"Proc. Adv. Neural Inf. Process.\n                        Syst.","volume":"34","author":"Pham"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2013.2259038"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2023.3273520"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2022.795876"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1016\/j.sysarc.2017.01.003"},{"key":"ref86","first-page":"469","article-title":"McPAT: An integrated power, area, and timing modeling\n                        framework for multicore and manycore architectures","volume-title":"Proc. Int. Symp. Microarchit.","author":"Li"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-019-1424-8"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2020.2970709"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2010.5536970"},{"key":"ref90","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2015.00141"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.1109\/tbcas.2018.2880425"},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.1109\/TBCAS.2019.2928793"},{"key":"ref93","doi-asserted-by":"publisher","DOI":"10.23919\/DATE54114.2022.9774780"},{"key":"ref94","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2010.5596372"},{"key":"ref95","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2014.2313565"},{"key":"ref96","doi-asserted-by":"publisher","DOI":"10.1109\/TBCAS.2017.2759700"},{"key":"ref97","article-title":"The SpiNNaker 2 processing\n                        element architecture for hybrid digital neuromorphic\n                        computing","author":"H\u00f6ppner","year":"2021","journal-title":"arXiv:2103.08392"},{"key":"ref98","doi-asserted-by":"publisher","DOI":"10.1038\/s41565-020-0655-z"},{"key":"ref99","doi-asserted-by":"publisher","DOI":"10.1038\/s41928-018-0092-2"},{"key":"ref100","doi-asserted-by":"publisher","DOI":"10.1038\/s41928-018-0054-8"},{"key":"ref101","doi-asserted-by":"publisher","DOI":"10.1145\/3352460.3358268"},{"key":"ref102","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA45697.2020.00038"},{"key":"ref103","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2021.3138347"},{"key":"ref104","article-title":"SATA: Sparsity-aware training accelerator for spiking\n                        neural networks","author":"Yin","year":"2022","journal-title":"arXiv:2204.05422"},{"key":"ref105","doi-asserted-by":"publisher","DOI":"10.1147\/JRD.2019.2934050"},{"key":"ref106","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2018.2881432"},{"key":"ref107","doi-asserted-by":"publisher","DOI":"10.1109\/TMSCS.2017.2748122"},{"key":"ref108","volume-title":"Taking Neuromorphic Computing\n                        to the Next Level With Loihi 2","year":"2021"},{"key":"ref109","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2019.00625"},{"key":"ref110","doi-asserted-by":"publisher","DOI":"10.3389\/fninf.2018.00089"},{"key":"ref111","article-title":"Norse\u2014A deep\n                        learning library for spiking neural networks","author":"Pehle","year":"2021","journal-title":"Zenodo"},{"key":"ref112","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2023.3308088"},{"key":"ref113","article-title":"OpenAI\n                    gym","author":"Brockman","year":"2016","journal-title":"arXiv:1606.01540"},{"key":"ref114","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2017.00309"},{"key":"ref115","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00058"},{"key":"ref116","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.781"},{"key":"ref117","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00213"},{"key":"ref118","doi-asserted-by":"publisher","DOI":"10.3389\/fninf.2014.00073"},{"key":"ref119","article-title":"Genesis: A system for simulating neural\n                        networks","volume-title":"Proc. NIPS","author":"Wilson"},{"key":"ref120","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511541612"},{"key":"ref121","doi-asserted-by":"publisher","DOI":"10.4249\/scholarpedia.1430"},{"key":"ref122","doi-asserted-by":"publisher","DOI":"10.3389\/neuro.11.005.2008"},{"key":"ref123","doi-asserted-by":"publisher","DOI":"10.3389\/conf.neuro.11.2008.01.046"},{"key":"ref124","doi-asserted-by":"publisher","DOI":"10.3389\/fninf.2013.00010"},{"key":"ref125","doi-asserted-by":"publisher","DOI":"10.3389\/fninf.2014.00006"},{"key":"ref126","doi-asserted-by":"publisher","DOI":"10.3389\/fninf.2014.00076"},{"key":"ref127","doi-asserted-by":"publisher","DOI":"10.3389\/fninf.2015.00019"},{"key":"ref128","doi-asserted-by":"publisher","DOI":"10.1038\/srep18854"},{"key":"ref129","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-54957-7"},{"key":"ref130","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2020.2994123"},{"key":"ref131","doi-asserted-by":"publisher","DOI":"10.3389\/fninf.2020.00016"},{"key":"ref132","doi-asserted-by":"publisher","DOI":"10.1016\/j.patter.2023.100789"},{"key":"ref133","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.4278957"},{"key":"ref134","doi-asserted-by":"publisher","DOI":"10.1126\/sciadv.abq7592"},{"key":"ref135","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2963386"},{"key":"ref136","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3060707"},{"key":"ref137","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3162962"},{"key":"ref138","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2021.726582"},{"key":"ref139","first-page":"969","article-title":"ESIM: An open event camera\n                    simulator","volume-title":"Proc. 2nd Conf. Robot Learn.\n                        (CoRL)","author":"Rebecq"},{"key":"ref140","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW53098.2021.00144"},{"key":"ref141","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"ref142","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2015.00437"},{"key":"ref143","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2016.00405"},{"key":"ref144","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00215"},{"key":"ref145","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3008413"},{"key":"ref146","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00186"},{"key":"ref147","doi-asserted-by":"publisher","DOI":"10.3389\/fnbot.2019.00038"},{"key":"ref148","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00217"},{"key":"ref149","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00215"},{"key":"ref150","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01723"},{"key":"ref151","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2019.00242"},{"key":"ref152","first-page":"16639","article-title":"Learning to detect objects with a 1 megapixel event\n                        camera","volume-title":"Proc. Adv. Neural Inf. Process.\n                        Syst.","volume":"33","author":"Perot"},{"key":"ref153","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01280"},{"key":"ref154","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2023.3318601"},{"key":"ref155","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2018.2800793"},{"key":"ref156","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3068942"},{"key":"ref157","doi-asserted-by":"publisher","DOI":"10.1007\/s11633-022-1340-5"},{"key":"ref158","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793887"},{"key":"ref159","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2022.3186770"},{"key":"ref160","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2007.914337"},{"key":"ref161","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2006.887979"},{"key":"ref162","doi-asserted-by":"publisher","DOI":"10.1126\/science.aat3125"},{"key":"ref163","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2018.00023"},{"key":"ref164","article-title":"ST-MNIST\u2014The spiking\n                        tactile MNIST neuromorphic dataset","author":"Hian See","year":"2020","journal-title":"arXiv:2005.04319"},{"key":"ref165","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2020.XVI.020"},{"key":"ref166","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2019.8702565"},{"key":"ref167","doi-asserted-by":"publisher","DOI":"10.1109\/IROS47612.2022.9982119"},{"key":"ref168","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.0623-08.2008"},{"key":"ref169","article-title":"Understanding the effective receptive field in deep\n                        convolutional neural networks","volume-title":"Proc. Adv.\n                        Neural Inf. Process. Syst.","volume":"29","author":"Luo"},{"key":"ref170","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.2972983"},{"key":"ref171","doi-asserted-by":"publisher","DOI":"10.1109\/MICRO.2016.7783723"},{"key":"ref172","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2016.2616357"},{"key":"ref173","doi-asserted-by":"publisher","DOI":"10.1109\/JETCAS.2019.2910232"},{"key":"ref174","doi-asserted-by":"publisher","DOI":"10.1145\/3079856.3080246"},{"key":"ref175","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA52012.2021.00010"},{"key":"ref176","doi-asserted-by":"publisher","DOI":"10.1145\/2644865.2541967"},{"key":"ref177","doi-asserted-by":"publisher","DOI":"10.1145\/2996864"},{"key":"ref178","doi-asserted-by":"publisher","DOI":"10.1145\/3007787.3001163"},{"key":"ref179","doi-asserted-by":"publisher","DOI":"10.1145\/3037697.3037702"},{"key":"ref180","doi-asserted-by":"publisher","DOI":"10.1145\/2684746.2689060"},{"key":"ref181","doi-asserted-by":"publisher","DOI":"10.1145\/2847263.2847265"},{"key":"ref182","doi-asserted-by":"publisher","DOI":"10.1109\/FPL.2018.00077"},{"key":"ref183","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(97)00011-7"},{"key":"ref184","doi-asserted-by":"publisher","DOI":"10.1038\/s41593-021-00857-x"},{"key":"ref185","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-46466-9_18"},{"key":"ref186","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1989.1.4.541"},{"key":"ref187","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.79.8.2554"},{"key":"ref188","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref189","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2019.2903009"},{"key":"ref190","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1604850113"},{"key":"ref191","doi-asserted-by":"publisher","DOI":"10.1109\/TBCAS.2014.2362969"},{"key":"ref192","doi-asserted-by":"publisher","DOI":"10.3389\/fncom.2020.00057"},{"key":"ref193","first-page":"12425","article-title":"Causal navigation by continuous-time neural\n                        networks","volume-title":"Proc. Adv. Neural Inf. Process.\n                        Syst.","volume":"34","author":"Vorbach"},{"key":"ref194","article-title":"Lifelong neural predictive coding: Learning\n                        cumulatively online without forgetting","author":"Ororbia","year":"2019","journal-title":"arXiv:1905.10696"},{"key":"ref195","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyg.2018.00345"},{"key":"ref196","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2018.03.044"},{"key":"ref197","doi-asserted-by":"crossref","DOI":"10.1101\/511535","article-title":"A unified theory of early visual representations from\n                        retina to cortex through anatomically constrained deep\n                    CNNs","volume-title":"Proc. Int. Conf. Learn.\n                        Represent.","author":"Lindsey"},{"key":"ref198","doi-asserted-by":"publisher","DOI":"10.1016\/j.brs.2019.06.015"},{"key":"ref199","doi-asserted-by":"publisher","DOI":"10.1038\/s41562-017-0234-y"},{"key":"ref200","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2019.02.060"},{"key":"ref201","doi-asserted-by":"publisher","DOI":"10.3325\/cmj.2020.61.279"},{"key":"ref202","doi-asserted-by":"crossref","first-page":"549","DOI":"10.1038\/nature.2017.23031","article-title":"Brain implants for mood disorders tested in\n                        people","volume":"551","author":"Reardon","year":"2018","journal-title":"Nature"},{"key":"ref203","doi-asserted-by":"publisher","DOI":"10.1109\/TRE.2000.847807"},{"key":"ref204","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/aaf12e"},{"key":"ref205","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.460010303"},{"key":"ref206","doi-asserted-by":"publisher","DOI":"10.1126\/science.abb4588"},{"key":"ref207","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-019-0058-8"},{"key":"ref208","doi-asserted-by":"publisher","DOI":"10.1017\/S0140525X07001185"},{"key":"ref209","doi-asserted-by":"publisher","DOI":"10.1098\/rstb.2017.0284"},{"key":"ref210","doi-asserted-by":"publisher","DOI":"10.1109\/MRA.2005.1458320"},{"key":"ref211","doi-asserted-by":"publisher","DOI":"10.3389\/fnbot.2017.00002"},{"key":"ref212","doi-asserted-by":"publisher","DOI":"10.1038\/s41583-020-00395-8"},{"key":"ref213","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00516"},{"key":"ref214","doi-asserted-by":"publisher","DOI":"10.1126\/science.1127240"},{"key":"ref215","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781107447615"},{"key":"ref216","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2003.820440"},{"key":"ref217","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2021.09.044"},{"key":"ref218","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-023-04921-w"},{"key":"ref219","doi-asserted-by":"publisher","DOI":"10.1016\/S0896-6273(01)00252-5"},{"key":"ref220","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-35289-8_25"},{"key":"ref221","article-title":"Adam: A method for stochastic\n                        optimization","author":"Kingma","year":"2014","journal-title":"arXiv:1412.6980"},{"key":"ref222","article-title":"On the convergence of Adam and\n                    beyond","author":"Reddi","year":"2019","journal-title":"arXiv:1904.09237"},{"key":"ref223","article-title":"Batch normalization: Accelerating deep network\n                        training by reducing internal covariate shift","author":"Ioffe","year":"2015","journal-title":"arXiv:1502.03167"},{"key":"ref224","first-page":"1223","article-title":"Large scale distributed deep\n                        networks","volume-title":"Proc. Adv. Neural Inf. Process.\n                        Syst.","author":"Dean"},{"key":"ref225","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.18-24-10464.1998"},{"key":"ref226","doi-asserted-by":"publisher","DOI":"10.1146\/annurev.neuro.24.1.139"},{"key":"ref227","doi-asserted-by":"publisher","DOI":"10.1162\/0899766053429390"},{"key":"ref228","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.0030031"},{"key":"ref229","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2010.5596934"},{"key":"ref230","first-page":"30365","article-title":"Local plasticity rules can learn deep representations\n                        using self-supervised contrastive predictions","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Illing"},{"issue":"4","key":"ref231","first-page":"137","article-title":"Synaptic plasticity, metaplasticity and BCM\n                        theory","volume":"103","author":"Jedlicka","year":"2002","journal-title":"Bratislavsk\u00e9 Lek\u00e1rske\n                        Listy"},{"key":"ref232","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2010.2074212"},{"key":"ref233","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3119238"},{"key":"ref234","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58607-2_23"},{"key":"ref235","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3111897"},{"key":"ref236","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20083-0_42"},{"key":"ref237","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2016.7727758"},{"key":"ref238","first-page":"6316","article-title":"A free lunch from ANN: Towards efficient, accurate\n                        spiking neural networks calibration","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Li"},{"key":"ref239","first-page":"1","article-title":"Optimal conversion of conventional artificial neural\n                        networks to spiking neural networks","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Deng"},{"key":"ref240","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i1.19874"},{"key":"ref241","first-page":"19534","article-title":"Unifying activation-and timing-based learning rules\n                        for spiking neural networks","volume-title":"Proc. Adv.\n                        Neural Inf. Process. Syst.","volume":"33","author":"Kim"},{"key":"ref242","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2009.11-08-901"},{"key":"ref243","doi-asserted-by":"publisher","DOI":"10.1038\/nn1643"},{"key":"ref244","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0040233"},{"key":"ref245","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065712500128"},{"key":"ref246","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2019.2931595"},{"key":"ref247","doi-asserted-by":"publisher","DOI":"10.1162\/neco_a_01367"},{"key":"ref248","first-page":"23426","article-title":"Differentiable spike: Rethinking gradient-descent for\n                        training spiking neural networks","volume-title":"Proc.\n                        Adv. Neural Inf. Process. Syst.","volume":"34","author":"Li"},{"key":"ref249","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2023\/335"},{"key":"ref250","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-021-91786-z"},{"key":"ref251","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2726060"},{"key":"ref252","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i12.17329"},{"key":"ref253","doi-asserted-by":"publisher","DOI":"10.1016\/S0925-2312(01)00658-0"},{"key":"ref254","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2019.09.005"},{"key":"ref255","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2021.773954"},{"key":"ref256","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01779"},{"key":"ref257","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2024.3377717"},{"key":"ref258","article-title":"SpikeGPT: Generative pre-trained language model with\n                        spiking neural networks","author":"Zhu","year":"2023","journal-title":"arXiv:2302.13939"},{"key":"ref259","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i10.28975"},{"key":"ref260","article-title":"Spike-driven\n                        transformer","volume-title":"Proc. 37th Conf. Neural Inf.\n                        Process. Syst.","author":"Yao"},{"key":"ref261","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2014.2362542"},{"key":"ref262","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.11.014"},{"key":"ref263","first-page":"1","article-title":"Enabling deep spiking neural networks with hybrid\n                        conversion and spike timing dependent\n                    backpropagation","volume-title":"Proc. Int. Conf. Learn.\n                        Represent.","author":"Rathi"},{"key":"ref264","first-page":"1","article-title":"Spike-driven transformer V2:\n                        Meta spiking neural network architecture inspiring the design of\n                        next-generation neuromorphic chips","volume-title":"Proc.\n                        12th Int. Conf. Learn. Represent.","author":"Yao"},{"key":"ref265","article-title":"Toward next-generation\n                        artificial intelligence: Catalyzing the NeuroAI\n                    revolution","author":"Zador","year":"2022","journal-title":"arXiv:2210.08340"},{"key":"ref266","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-021-26022-3"},{"key":"ref267","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-021-25427-4"},{"key":"ref268","first-page":"1","article-title":"ImageNet classification with deep convolutional\n                        neural networks","volume-title":"Proc. Adv. Neural Inf.\n                        Process. Syst.","volume":"25","author":"Krizhevsky"},{"key":"ref269","doi-asserted-by":"publisher","DOI":"10.1126\/science.aaa8685"},{"key":"ref270","doi-asserted-by":"publisher","DOI":"10.1038\/nature21056"},{"key":"ref271","doi-asserted-by":"publisher","DOI":"10.13140\/RG.2.2.18893.74727"},{"key":"ref272","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-021-04362-w"},{"key":"ref273","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01552"},{"key":"ref274","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2023.07.008"},{"key":"ref275","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-vision-082114-035431"},{"key":"ref276","doi-asserted-by":"publisher","DOI":"10.1146\/annurev.ne.18.030195.001205"},{"key":"ref277","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-022-00480-w"},{"key":"ref278","doi-asserted-by":"publisher","DOI":"10.1038\/ncomms13276"},{"key":"ref279","doi-asserted-by":"publisher","DOI":"10.1038\/s41583-020-0277-3"},{"key":"ref280","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-23528-8_31"},{"key":"ref281","article-title":"Representation learning with contrastive predictive\n                        coding","author":"van den Oord","year":"2018","journal-title":"arXiv:1807.03748"},{"key":"ref282","first-page":"1","article-title":"Greedy InfoMax for self-supervised representation\n                        learning","volume-title":"Proc. ICML","author":"L\u00f6we"},{"key":"ref283","article-title":"The forward-forward algorithm: Some preliminary\n                        investigations","author":"Hinton","year":"2022","journal-title":"arXiv:2212.13345"},{"key":"ref284","doi-asserted-by":"publisher","DOI":"10.1038\/nature24270"},{"key":"ref285","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-021-24427-8"},{"key":"ref286","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-021-27653-2"},{"key":"ref287","doi-asserted-by":"publisher","DOI":"10.1126\/sciadv.abh0146"},{"key":"ref288","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-021-00397-w"},{"key":"ref289","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC.2014.6757323"},{"key":"ref290","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00042"},{"key":"ref291","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3010201"},{"key":"ref292","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00400"},{"key":"ref293","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3114196"},{"key":"ref294","doi-asserted-by":"publisher","DOI":"10.1016\/j.eng.2022.01.012"},{"key":"ref295","doi-asserted-by":"publisher","DOI":"10.1109\/isscc19947.2020.9063149"},{"key":"ref296","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2023.3303154"},{"key":"ref297","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-024-07358-4"},{"key":"ref298","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2010.5537265"},{"key":"ref299","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2002.807412"},{"key":"ref300","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2014.2346153"},{"key":"ref301","doi-asserted-by":"publisher","DOI":"10.1109\/TBCAS.2010.2075929"},{"key":"ref302","doi-asserted-by":"publisher","DOI":"10.1109\/82.842110"},{"key":"ref303","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00151"},{"key":"ref304","doi-asserted-by":"publisher","DOI":"10.1016\/bs.pmbts.2015.06.001"},{"key":"ref305","doi-asserted-by":"publisher","DOI":"10.1167\/iovs.06-0849"},{"key":"ref306","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2019.2897076"},{"key":"ref307","doi-asserted-by":"publisher","DOI":"10.1109\/CICC53496.2022.9772783"},{"key":"ref308","doi-asserted-by":"publisher","DOI":"10.1109\/tcsii.2021.3052172"},{"key":"ref309","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-022-30964-7"},{"key":"ref310","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3106961"},{"key":"ref311","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-020-73366-9"},{"key":"ref312","doi-asserted-by":"publisher","DOI":"10.1126\/scirobotics.abk2948"},{"key":"ref313","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-020-0187-0"},{"key":"ref314","volume-title":"Deep Learning and AI Processor Chip\n                        Manufacturer"},{"key":"ref315","volume-title":"Graphcore Joins Softbank Group"},{"key":"ref316","doi-asserted-by":"publisher","DOI":"10.1109\/isscc19947.2020.9062984"},{"key":"ref317","doi-asserted-by":"publisher","DOI":"10.1145\/3352460.3358302"},{"key":"ref318","doi-asserted-by":"publisher","DOI":"10.1126\/science.adh1174"},{"key":"ref319","doi-asserted-by":"publisher","DOI":"10.1109\/asicon52560.2021.9620416"},{"key":"ref320","doi-asserted-by":"publisher","DOI":"10.1109\/TBCAS.2023.3242413"},{"key":"ref321","doi-asserted-by":"publisher","DOI":"10.1109\/IEDM.2017.8268341"},{"key":"ref322","doi-asserted-by":"publisher","DOI":"10.1109\/VLSITechnology18217.2020.9265033"},{"key":"ref323","doi-asserted-by":"publisher","DOI":"10.1038\/nature06932"},{"key":"ref324","doi-asserted-by":"publisher","DOI":"10.1088\/0957-4484\/24\/38\/382001"},{"key":"ref325","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2018.2790840"},{"key":"ref326","doi-asserted-by":"publisher","DOI":"10.1038\/nature14441"},{"key":"ref327","doi-asserted-by":"publisher","DOI":"10.1038.\/s41586-020-1942-4"},{"key":"ref328","doi-asserted-by":"publisher","DOI":"10.1038\/s41928-020-0435-7"},{"key":"ref329","doi-asserted-by":"publisher","DOI":"10.1016\/j.scib.2021.04.014"},{"key":"ref330","doi-asserted-by":"publisher","DOI":"10.1162\/neco_a_01245"},{"key":"ref331","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-024-47811-6"},{"key":"ref332","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC42615.2023.10067650"},{"key":"ref333","doi-asserted-by":"publisher","DOI":"10.23919\/VLSITechnologyandCir57934.2023.10185410"},{"key":"ref334","doi-asserted-by":"publisher","DOI":"10.1109\/async58294.2023.10239577"},{"key":"ref335","doi-asserted-by":"publisher","DOI":"10.1109\/DAC56929.2023.10247850"},{"key":"ref336","article-title":"The operating system of the\n                        neuromorphic BrainScaleS-1 system","author":"M\u00fcller","year":"2020","journal-title":"arXiv:2003.13749"},{"key":"ref337","article-title":"Extending BrainScaleS OS for\n                        BrainScaleS-2","author":"M\u00fcller","year":"2020","journal-title":"arXiv:2003.13750"},{"key":"ref338","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2019.00231"},{"key":"ref339","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2013.6707078"},{"key":"ref340","doi-asserted-by":"publisher","DOI":"10.1109\/SC.2012.34"},{"key":"ref341","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2022.3144397"},{"key":"ref342","doi-asserted-by":"publisher","DOI":"10.3389\/fninf.2013.00048"},{"key":"ref343","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-022-04992-8"},{"key":"ref344","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN55064.2022.9892644"},{"key":"ref345","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-023-41553-7"},{"key":"ref346","volume-title":"BrainCog: A Spiking Neural Network Based,\n                        Braininspired Cognitive Intelligence Engine for Braininspired AI and Brain\n                        Simulation"},{"key":"ref347","doi-asserted-by":"publisher","DOI":"10.3389\/fninf.2021.630172"},{"key":"ref348","doi-asserted-by":"publisher","DOI":"10.1016\/j.expneurol.2022.114111"},{"key":"ref349","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2022.118973"},{"key":"ref350","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2018.00941"},{"key":"ref351","doi-asserted-by":"publisher","DOI":"10.1093\/cercor\/bhs358"},{"key":"ref352","doi-asserted-by":"publisher","DOI":"10.3389\/fninf.2021.659005"},{"key":"ref353","doi-asserted-by":"publisher","DOI":"10.1038\/s43588-020-00022-7"},{"key":"ref354","doi-asserted-by":"publisher","DOI":"10.1007\/s00429-017-1554-4"},{"key":"ref355","doi-asserted-by":"publisher","DOI":"10.3389\/fninf.2012.00026"},{"key":"ref356","doi-asserted-by":"publisher","DOI":"10.3389\/fninf.2018.00002"},{"key":"ref357","doi-asserted-by":"publisher","DOI":"10.1177\/1094342017710705"},{"key":"ref358","doi-asserted-by":"publisher","DOI":"10.3389\/fninf.2019.00071"},{"key":"ref359","doi-asserted-by":"publisher","DOI":"10.34133\/icomputing.0055"},{"key":"ref360","doi-asserted-by":"publisher","DOI":"10.1023\/B:JCNS.0000023869.22017.2e"},{"key":"ref361","article-title":"Digital twin brain: A bridge\n                        between biological intelligence and artificial\n                    intelligence","author":"Xiong","year":"2023","journal-title":"arXiv:2308.01941"},{"key":"ref362","doi-asserted-by":"publisher","DOI":"10.1016\/j.tins.2022.06.007"},{"key":"ref363","article-title":"Digital twin brain: A\n                        simulation and assimilation platform for whole human\n                    brain","author":"Lu","year":"2023","journal-title":"arXiv:2308.01241"},{"key":"ref364","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-020-2782-y"},{"key":"ref365","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"ref366","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref367","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248074"},{"key":"ref368","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3061122"},{"key":"ref369","doi-asserted-by":"publisher","DOI":"10.1145\/3474085.3479237"},{"key":"ref370","first-page":"1","article-title":"CARLA: An open urban driving\n                        simulator","volume-title":"Proc. 1st Annu. Conf. Robot\n                        Learn.","volume":"78","author":"Dosovitskiy"},{"key":"ref371","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3298925"},{"key":"ref372","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW59228.2023.00419"},{"key":"ref373","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00573"},{"key":"ref374","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00568"},{"key":"ref375","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00108"},{"key":"ref376","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2574707"},{"key":"ref377","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58565-5_9"},{"key":"ref378","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2903179"},{"key":"ref379","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00358"},{"key":"ref380","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00603"},{"key":"ref381","doi-asserted-by":"publisher","DOI":"10.1038\/81444"},{"key":"ref382","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.103.012406"},{"key":"ref383","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevResearch.3.043085"},{"key":"ref384","doi-asserted-by":"publisher","DOI":"10.1162\/NECO_a_00206"},{"key":"ref385","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2003.07.015"},{"key":"ref386","doi-asserted-by":"publisher","DOI":"10.1038\/nature04701"},{"key":"ref387","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2015.01.002"},{"key":"ref388","doi-asserted-by":"publisher","DOI":"10.1038\/nphys1803"},{"key":"ref389","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevResearch.2.023144"},{"key":"ref390","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.97.053304"},{"key":"ref391","doi-asserted-by":"publisher","DOI":"10.11138\/FNeur\/2013.28.3.191"}],"container-title":["Proceedings of the IEEE"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/5\/10654605\/10636118.pdf?arnumber=10636118","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,25]],"date-time":"2025-04-25T13:40:50Z","timestamp":1745588450000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10636118\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6]]},"references-count":391,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/jproc.2024.3429360","relation":{"has-preprint":[{"id-type":"doi","id":"10.36227\/techrxiv.21837027.v1","asserted-by":"object"}]},"ISSN":["0018-9219","1558-2256"],"issn-type":[{"value":"0018-9219","type":"print"},{"value":"1558-2256","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,6]]}}}