{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:09:18Z","timestamp":1750219758551,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":23,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,6,5]],"date-time":"2023-06-05T00:00:00Z","timestamp":1685923200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,6,5]]},"DOI":"10.1145\/3583781.3590201","type":"proceedings-article","created":{"date-parts":[[2023,5,31]],"date-time":"2023-05-31T22:40:19Z","timestamp":1685572819000},"page":"527-532","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["ATC: Approximate Temporal Coding for Efficient Implementations of Spiking Neural Networks"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8215-0234","authenticated-orcid":false,"given":"Ming","family":"Han","sequence":"first","affiliation":[{"name":"Harbin Institute of Technology, Harbin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7744-510X","authenticated-orcid":false,"given":"Ye","family":"Wang","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology, Harbin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2980-9431","authenticated-orcid":false,"given":"Jian","family":"Dong","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology, Harbin, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-3460-209X","authenticated-orcid":false,"given":"Heng","family":"Liu","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology, Harbin, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-3460-209X","authenticated-orcid":false,"given":"Jin","family":"Wu","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology, Harbin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6759-8949","authenticated-orcid":false,"given":"Gang","family":"Qu","sequence":"additional","affiliation":[{"name":"University of Maryland, College Park, MD, USA"}]}],"member":"320","published-online":{"date-parts":[[2023,6,5]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Networks of spiking neurons: the third generation of neural network models. Neural networks 10, 9","author":"Maass Wolfgang","year":"1997","unstructured":"Wolfgang Maass. 1997. Networks of spiking neurons: the third generation of neural network models. Neural networks 10, 9 (1997), 1659--1671."},{"key":"e_1_3_2_1_2_1","volume-title":"34th AAAI","volume":"34","author":"Kim Seijoon","year":"2020","unstructured":"Seijoon Kim, Seongsik Park, Byunggook Na, and Sungroh Yoon. 2020. Spikingyolo: spiking neural network for energy-efficient object detection. In 34th AAAI 2020, Vol. 34. AAAI, New York, NY, USA, 11270--11277."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2018.8351516"},{"key":"e_1_3_2_1_4_1","volume-title":"58th DAC","author":"Wicaksana Putra Rachmad Vidya","year":"2021","unstructured":"Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, and Muhammad Shafique. 2021. Sparkxd: A framework for resilient and energy-efficient spiking neural network inference using approximate dram. In 58th DAC 2021. IEEE, San Francisco, CA, USA, 379--384."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2018.2819366"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpdc.2021.08.003"},{"key":"e_1_3_2_1_7_1","volume-title":"DATE","author":"Sen Sanchari","year":"2017","unstructured":"Sanchari Sen, Swagath Venkataramani, and Anand Raghunathan. 2017. Approximate computing for spiking neural networks. In DATE 2017. IEEE, Lausanne, Switzerland, 193--198."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2020.3013049"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.11.014"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.11.052"},{"key":"e_1_3_2_1_11_1","volume-title":"ICONS","author":"Mitchell J Parker","year":"2020","unstructured":"J Parker Mitchell, Catherine D Schuman, and Thomas E Potok. 2020. A small, low cost event-driven architecture for spiking neural networks on fpgas. In ICONS 2020. ACM, Oak Ridge, Tennessee, USA, 1--4."},{"key":"e_1_3_2_1_12_1","first-page":"1","article-title":"Event-based backpropagation can compute exact gradients for spiking neural networks. Sci","volume":"11","author":"Wunderlich Timo","year":"2021","unstructured":"Timo CWunderlich and Christian Pehle. 2021. Event-based backpropagation can compute exact gradients for spiking neural networks. Sci. Rep. 11, 1 (2021), 1--17.","journal-title":"Rep."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9053856"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2021.3059172"},{"key":"e_1_3_2_1_15_1","volume-title":"ICONS","author":"Shahsavari Mahyar","year":"2021","unstructured":"Mahyar Shahsavari, David Thomas, AndrewBrown, andWayne Luk. 2021. Neuromorphic design using reward-based STDP learning on event-based reconfigurable cluster architecture. In ICONS 2021. ACM, Knoxville, Tennessee, USA, 1--8."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9747906"},{"key":"e_1_3_2_1_17_1","first-page":"1","article-title":"GeNN: a code generation framework for accelerated brain simulations. Sci","volume":"6","author":"Yavuz Esin","year":"2016","unstructured":"Esin Yavuz, James Turner, and Thomas Nowotny. 2016. GeNN: a code generation framework for accelerated brain simulations. Sci. Rep. 6, 1 (2016), 1--14.","journal-title":"Rep."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"e_1_3_2_1_19_1","volume-title":"Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms. arXiv preprint arXiv:1708.07747","author":"Xiao Han","year":"2017","unstructured":"Han Xiao, Kashif Rasul, and Roland Vollgraf. 2017. Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms. arXiv preprint arXiv:1708.07747 (2017)."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.5555\/1032643.1033069"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3055825"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA47549.2020.00060"},{"key":"e_1_3_2_1_23_1","volume-title":"59th DAC","author":"Wicaksana Putra Rachmad Vidya","year":"2022","unstructured":"Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, and Muhammad Shafique. 2022. SoftSNN: low-cost fault tolerance for spiking neural network accelerators under soft errors. In 59th DAC 2022. ACM, San Francisco, CA, USA, 151--156."}],"event":{"name":"GLSVLSI '23: Great Lakes Symposium on VLSI 2023","sponsor":["SIGDA ACM Special Interest Group on Design Automation"],"location":"Knoxville TN USA","acronym":"GLSVLSI '23"},"container-title":["Proceedings of the Great Lakes Symposium on VLSI 2023"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3583781.3590201","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3583781.3590201","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:37:04Z","timestamp":1750178224000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3583781.3590201"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,5]]},"references-count":23,"alternative-id":["10.1145\/3583781.3590201","10.1145\/3583781"],"URL":"https:\/\/doi.org\/10.1145\/3583781.3590201","relation":{},"subject":[],"published":{"date-parts":[[2023,6,5]]},"assertion":[{"value":"2023-06-05","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}