{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T05:32:33Z","timestamp":1769059953249,"version":"3.49.0"},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,11,13]],"date-time":"2021-11-13T00:00:00Z","timestamp":1636761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,11,13]],"date-time":"2021-11-13T00:00:00Z","timestamp":1636761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,11,13]]},"DOI":"10.1109\/icsai53574.2021.9664146","type":"proceedings-article","created":{"date-parts":[[2022,1,10]],"date-time":"2022-01-10T21:14:51Z","timestamp":1641849291000},"page":"1-5","source":"Crossref","is-referenced-by-count":15,"title":["Spiking Transformer Networks: A Rate Coded Approach for Processing Sequential Data"],"prefix":"10.1109","author":[{"given":"Etienne","family":"Mueller","sequence":"first","affiliation":[{"name":"Technical University of Munich,Munich,Germany"}]},{"given":"Viktor","family":"Studenyak","sequence":"additional","affiliation":[{"name":"Technical University of Munich,Munich,Germany"}]},{"given":"Daniel","family":"Auge","sequence":"additional","affiliation":[{"name":"Technical University of Munich,Munich,Germany"}]},{"given":"Alois","family":"Knoll","sequence":"additional","affiliation":[{"name":"Technical University of Munich,Munich,Germany"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2015.7280696"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2017.00682"},{"key":"ref12","author":"kim","year":"2014","journal-title":"Convolutional neural networks for sentence classification"},{"key":"ref13","author":"hu","year":"2018","journal-title":"Spiking Deep Residual Network"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN52387.2021.9533874"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICRC.2016.7738691"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref17","author":"cho","year":"2014","journal-title":"Learning phrase representations using RNN encoder-decoder for statistical machine translation"},{"key":"ref18","author":"vaswani","year":"2017","journal-title":"Attention is all you need"},{"key":"ref19","author":"devlin","year":"2019","journal-title":"Bert Pretraining of deep bidirectional transformers for language understanding"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2006.18.6.1318"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2017.00350"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1126\/science.275.5297.213"},{"key":"ref6","author":"neftci","year":"2019","journal-title":"Surrogate gradient learning in spiking neural networks"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2013.00272"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-014-0788-3"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2019.00095"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"1659","DOI":"10.1016\/S0893-6080(97)00011-7","article-title":"Networks of spiking neurons: The third generation of neural network models","volume":"10","author":"maass","year":"1997","journal-title":"Neural Networks"},{"key":"ref9","first-page":"8","article-title":"Rectified Linear Units Improve Restricted Boltzmann Machines","author":"nair","year":"0","journal-title":"Proceedings of the 27th International Conference on Machine Learning"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2011.00108"},{"key":"ref20","author":"brown","year":"2020","journal-title":"Language models are few-shot learners"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_13"},{"key":"ref21","author":"dosovitskiy","year":"2021","journal-title":"An image is worth 16x16 words Transformers for image recognition at scale"},{"key":"ref24","first-page":"9","article-title":"Learning Word Vectors for Sentiment Analysis","author":"maas","year":"0","journal-title":"Proceedings annual meeting of the Association for Computational Linguistics"},{"key":"ref23","author":"rueckauer","year":"2016","journal-title":"Theory and tools for the conversion of analog to spiking convolutional neural networks"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2017.8257939"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"}],"event":{"name":"2021 7th International Conference on Systems and Informatics (ICSAI)","location":"Chongqing, China","start":{"date-parts":[[2021,11,13]]},"end":{"date-parts":[[2021,11,15]]}},"container-title":["2021 7th International Conference on Systems and Informatics (ICSAI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9663731\/9664014\/09664146.pdf?arnumber=9664146","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,3]],"date-time":"2022-08-03T00:19:00Z","timestamp":1659485940000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9664146\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11,13]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/icsai53574.2021.9664146","relation":{},"subject":[],"published":{"date-parts":[[2021,11,13]]}}}