{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:27:41Z","timestamp":1750220861410,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":25,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,8,10]],"date-time":"2020-08-10T00:00:00Z","timestamp":1597017600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"ETH","award":["0918-2"],"award-info":[{"award-number":["0918-2"]}]},{"name":"EU","award":["780215"],"award-info":[{"award-number":["780215"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,8,10]]},"DOI":"10.1145\/3370748.3406560","type":"proceedings-article","created":{"date-parts":[[2020,8,7]],"date-time":"2020-08-07T16:10:32Z","timestamp":1596816632000},"page":"169-174","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":17,"title":["Integrating event-based dynamic vision sensors with sparse hyperdimensional computing"],"prefix":"10.1145","author":[{"given":"Michael","family":"Hersche","sequence":"first","affiliation":[{"name":"ETH Zurich, Switzerland"}]},{"given":"Edoardo Mello","family":"Rella","sequence":"additional","affiliation":[{"name":"ETH Zurich, Switzerland"}]},{"given":"Alfio","family":"Di Mauro","sequence":"additional","affiliation":[{"name":"ETH Zurich, Switzerland"}]},{"given":"Luca","family":"Benini","sequence":"additional","affiliation":[{"name":"University of Bologna, Italy and ETH Zurich, Switzerland"}]},{"given":"Abbas","family":"Rahimi","sequence":"additional","affiliation":[{"name":"UC Berkeley and ETH Zurich, Switzerland"}]}],"member":"320","published-online":{"date-parts":[[2020,8,10]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"crossref","unstructured":"A. Amir etal 2017. A Low Power Fully Event-Based Gesture Recognition System. In 2017 IEEE CVPR. IEEE 7388--7397.  A. Amir et al. 2017. A Low Power Fully Event-Based Gesture Recognition System. In 2017 IEEE CVPR. IEEE 7388--7397.","DOI":"10.1109\/CVPR.2017.781"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2014.2342715"},{"key":"#cr-split#-e_1_3_2_2_3_1.1","doi-asserted-by":"crossref","unstructured":"Nicola Cottini etal 2012. A 33&mu;W 42 GOPS\/W 64x64 Pixel Vision Sensor with Dynamic Background Subtraction for Scene Interpretation. In 2012 ACM\/IEEE ISLPED. ACM Press New York New York USA 315--320. Nicola Cottini et al. 2012. A 33 &mu","DOI":"10.1145\/2333660.2333731"},{"key":"#cr-split#-e_1_3_2_2_3_1.2","unstructured":"W 42 GOPS\/W 64x64 Pixel Vision Sensor with Dynamic Background Subtraction for Scene Interpretation. In 2012 ACM\/IEEE ISLPED. ACM Press New York New York USA 315--320."},{"key":"e_1_3_2_2_4_1","series-title":"Oxford Series on Cognitive Models and Architectures","volume-title":"How to Build a Brain: A Neural Architecture for Biological Cognition","author":"Eliasmith C.","unstructured":"C. Eliasmith . 2013. How to Build a Brain: A Neural Architecture for Biological Cognition . Oxford Series on Cognitive Models and Architectures . C. Eliasmith. 2013. How to Build a Brain: A Neural Architecture for Biological Cognition. Oxford Series on Cognitive Models and Architectures."},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"crossref","unstructured":"E. Flamand etal 2018. GAP-8: A RISC-V SoC for AI at the Edge of the IoT. In 2018 IEEE 29th ASAP. 1--4.  E. Flamand et al. 2018. GAP-8: A RISC-V SoC for AI at the Edge of the IoT. In 2018 IEEE 29th ASAP. 1--4.","DOI":"10.1109\/ASAP.2018.8445101"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"crossref","unstructured":"G. Gallego etal 2018. A Unifying Contrast Maximization Framework for Event Cameras with Applications to Motion Depth and Optical Flow Estimation. 2018 IEEE CVPR (2018) 3867--3876.  G. Gallego et al. 2018. A Unifying Contrast Maximization Framework for Event Cameras with Applications to Motion Depth and Optical Flow Estimation. 2018 IEEE CVPR (2018) 3867--3876.","DOI":"10.1109\/CVPR.2018.00407"},{"volume-title":"Sparse distributed memory","author":"Kanerva P.","key":"e_1_3_2_2_7_1","unstructured":"P. Kanerva . 1988. Sparse distributed memory . MIT Press , Cambridge, Massachusetts . P. Kanerva. 1988. Sparse distributed memory. MIT Press, Cambridge, Massachusetts."},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12559-009-9009-8"},{"key":"e_1_3_2_2_9_1","unstructured":"Geethan Karunaratne etal 2020. In-memory hyperdimensional computing. Nature Electronics (01 Jun 2020).  Geethan Karunaratne et al. 2020. In-memory hyperdimensional computing. Nature Electronics (01 Jun 2020)."},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2814400"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"crossref","unstructured":"Ana I Maqueda etal 2018. Event-based vision meets deep learning on steering prediction for self-driving cars. In 2018 IEEE CVPR. IEEE 5419--5427.  Ana I Maqueda et al. 2018. Event-based vision meets deep learning on steering prediction for self-driving cars. In 2018 IEEE CVPR. IEEE 5419--5427.","DOI":"10.1109\/CVPR.2018.00568"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"crossref","unstructured":"M. Mendes etal 2008. Robot navigation using a sparse distributed memory. In 2008 IEEE ICRA. IEEE 53--58.  M. Mendes et al. 2008. Robot navigation using a sparse distributed memory. In 2008 IEEE ICRA. IEEE 53--58.","DOI":"10.1109\/ROBOT.2008.4543186"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"crossref","unstructured":"Anton Mitrokhin etal 2018. Event-Based Moving Object Detection and Tracking. In 2018 IEEE\/RSJ IROS. IEEE 1--9.  Anton Mitrokhin et al. 2018. Event-Based Moving Object Detection and Tracking. In 2018 IEEE\/RSJ IROS. IEEE 1--9.","DOI":"10.1109\/IROS.2018.8593805"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"crossref","unstructured":"A. Mitrokhin etal 2019. Learning sensorimotor control with neuromorphic sensors: Toward hyperdimensional active perception. Science Robotics 4 30 (5 2019) eaaw6736.  A. Mitrokhin et al. 2019. Learning sensorimotor control with neuromorphic sensors: Toward hyperdimensional active perception. Science Robotics 4 30 (5 2019) eaaw6736.","DOI":"10.1126\/scirobotics.aaw6736"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"crossref","unstructured":"P. Neubert etal 2019. An Introduction to Hyperdimensional Computing for Robotics. KI - K\u00fcnstliche Intelligenz (2019) 319--330.  P. Neubert et al. 2019. An Introduction to Hyperdimensional Computing for Robotics. KI - K\u00fcnstliche Intelligenz (2019) 319--330.","DOI":"10.1007\/s13218-019-00623-z"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/69.917565"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2017.2705051"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2018.2871163"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"crossref","unstructured":"A. Rahimi etal 2016. A Robust and Energy-Efficient Classifier Using Brain-Inspired Hyperdimensional Computing. In 2016 ACM\/IEEE ISLPED. ACM Press New York New York USA 64--69.  A. Rahimi et al. 2016. A Robust and Energy-Efficient Classifier Using Brain-Inspired Hyperdimensional Computing. In 2016 ACM\/IEEE ISLPED. ACM Press New York New York USA 64--69.","DOI":"10.1145\/2934583.2934624"},{"key":"e_1_3_2_2_20_1","volume-title":"Event-Based Attention and Tracking on Neuromorphic Hardware. In IEEE CVPR Workshops. IEEE.","author":"Renner A.","year":"2019","unstructured":"A. Renner , 2019 . Event-Based Attention and Tracking on Neuromorphic Hardware. In IEEE CVPR Workshops. IEEE. A. Renner, et al. 2019. Event-Based Attention and Tracking on Neuromorphic Hardware. In IEEE CVPR Workshops. IEEE."},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"crossref","unstructured":"B. Son etal 2017. A 640\u00d7480 dynamic vision sensor with a 9&mu;m pixel and 300Meps address-event representation. In 2017 IEEE ISSCC. IEEE 66--67.  B. Son et al. 2017. A 640\u00d7480 dynamic vision sensor with a 9&mu;m pixel and 300Meps address-event representation. In 2017 IEEE ISSCC. IEEE 66--67.","DOI":"10.1109\/ISSCC.2017.7870263"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"crossref","unstructured":"J. B. Travnik etal 2017. Representing high-dimensional data to intelligent prostheses and other wearable assistive robots: A first comparison of tile coding and selective Kanerva coding. In 2017 IEEE ICORR. IEEE 1443--1450.  J. B. Travnik et al. 2017. Representing high-dimensional data to intelligent prostheses and other wearable assistive robots: A first comparison of tile coding and selective Kanerva coding. In 2017 IEEE ICORR. IEEE 1443--1450.","DOI":"10.1109\/ICORR.2017.8009451"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2976702"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2018.2800793"}],"event":{"name":"ISLPED '20: ACM\/IEEE International Symposium on Low Power Electronics and Design","sponsor":["SIGDA ACM Special Interest Group on Design Automation","IEEE CAS"],"location":"Boston Massachusetts","acronym":"ISLPED '20"},"container-title":["Proceedings of the ACM\/IEEE International Symposium on Low Power Electronics and Design"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3370748.3406560","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3370748.3406560","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:23:35Z","timestamp":1750202615000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3370748.3406560"}},"subtitle":["a low-power accelerator with online learning capability"],"short-title":[],"issued":{"date-parts":[[2020,8,10]]},"references-count":25,"alternative-id":["10.1145\/3370748.3406560","10.1145\/3370748"],"URL":"https:\/\/doi.org\/10.1145\/3370748.3406560","relation":{},"subject":[],"published":{"date-parts":[[2020,8,10]]},"assertion":[{"value":"2020-08-10","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}