{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T00:09:09Z","timestamp":1775779749261,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":34,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,10,30]],"date-time":"2022-10-30T00:00:00Z","timestamp":1667088000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000006","name":"Office of Naval Research","doi-asserted-by":"publisher","award":["N00014-21-1-2225"],"award-info":[{"award-number":["N00014-21-1-2225"]}],"id":[{"id":"10.13039\/100000006","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100014121","name":"Xilinx","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100014121","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000181","name":"Air Force Office of Scientific Research","doi-asserted-by":"publisher","award":["22RT0060"],"award-info":[{"award-number":["22RT0060"]}],"id":[{"id":"10.13039\/100000181","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100004351","name":"Cisco Systems","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100004351","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"NSF (National Science Foundation)","doi-asserted-by":"publisher","award":["2127780"],"award-info":[{"award-number":["2127780"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000028","name":"Semiconductor Research Corporation","doi-asserted-by":"publisher","award":["2988.001"],"award-info":[{"award-number":["2988.001"]}],"id":[{"id":"10.13039\/100000028","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,10,30]]},"DOI":"10.1145\/3508352.3549477","type":"proceedings-article","created":{"date-parts":[[2022,12,22]],"date-time":"2022-12-22T12:10:54Z","timestamp":1671711054000},"page":"1-9","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":16,"title":["Neurally-Inspired Hyperdimensional Classification for Efficient and Robust Biosignal Processing"],"prefix":"10.1145","author":[{"given":"Yang","family":"Ni","sequence":"first","affiliation":[{"name":"University of California Irvine"}]},{"given":"Nicholas","family":"Lesica","sequence":"additional","affiliation":[{"name":"University College London"}]},{"given":"Fan-Gang","family":"Zeng","sequence":"additional","affiliation":[{"name":"University of California Irvine"}]},{"given":"Mohsen","family":"Imani","sequence":"additional","affiliation":[{"name":"University of California Irvine"}]}],"member":"320","published-online":{"date-parts":[[2022,12,22]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/MCE.2019.2959059"},{"key":"e_1_3_2_1_2_1","volume-title":"Robust anomaly detection for multivariate time series through stochastic recurrent neural network,\" in ACM SIGKDD KDD","author":"Su Y.","year":"2019","unstructured":"Y. Su et al., \"Robust anomaly detection for multivariate time series through stochastic recurrent neural network,\" in ACM SIGKDD KDD, 2019."},{"key":"e_1_3_2_1_3_1","volume-title":"A dual-stage attention-based recurrent neural network for time series prediction,\" arXiv preprint arXiv:1704.02971","author":"Qin Y.","year":"2017","unstructured":"Y. Qin et al., \"A dual-stage attention-based recurrent neural network for time series prediction,\" arXiv preprint arXiv:1704.02971, 2017."},{"key":"e_1_3_2_1_4_1","first-page":"435","article-title":"A framework for collaborative learning in secure high-dimensional space","author":"Imani M.","year":"2019","unstructured":"M. Imani et al., \"A framework for collaborative learning in secure high-dimensional space,\" in CLOUD. IEEE, 2019, pp. 435--446.","journal-title":"CLOUD. IEEE"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12559-009-9009-8"},{"key":"e_1_3_2_1_6_1","first-page":"1","article-title":"Mimhd: Accurate and efficient hyperdimensional inference using multi-bit in-memory computing","author":"Kazemi A.","year":"2021","unstructured":"A. Kazemi et al., \"Mimhd: Accurate and efficient hyperdimensional inference using multi-bit in-memory computing,\" in ISLPED. IEEE, 2021, pp. 1--6.","journal-title":"ISLPED. IEEE"},{"key":"e_1_3_2_1_7_1","first-page":"1","volume-title":"Storage and Analysis","author":"Zou Z.","year":"2021","unstructured":"Z. Zou et al., \"Scalable edge-based hyperdimensional learning system with brain-like neural adaptation,\" in Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, 2021, pp. 1--15."},{"key":"e_1_3_2_1_8_1","first-page":"553","volume-title":"IEEE","author":"A.","year":"2021","unstructured":"A. Hern\u00e1ndez-Cano et al., \"Prid: Model inversion privacy attacks in hyperdimensional learning systems,\" in 2021 58th ACM\/IEEE Design Automation Conference (DAC). IEEE, 2021, pp. 553--558."},{"key":"e_1_3_2_1_9_1","volume-title":"A wearable biosensing system with in-sensor adaptive machine learning for hand gesture recognition,\" Nature Electronics","author":"Moin A.","year":"2021","unstructured":"A. Moin et al., \"A wearable biosensing system with in-sensor adaptive machine learning for hand gesture recognition,\" Nature Electronics, 2021."},{"key":"e_1_3_2_1_10_1","first-page":"1","article-title":"Hyperdimensional biosignal processing: A case study for emg-based hand gesture recognition","author":"Rahimi A.","year":"2016","unstructured":"A. Rahimi et al., \"Hyperdimensional biosignal processing: A case study for emg-based hand gesture recognition,\" in ICRC. IEEE, 2016, pp. 1--8.","journal-title":"ICRC. IEEE"},{"key":"e_1_3_2_1_11_1","volume-title":"Systematic assessment of hyperdimensional computing for epileptic seizure detection,\" arXiv preprint arXiv:2105.00934","author":"Pale U.","year":"2021","unstructured":"U. Pale et al., \"Systematic assessment of hyperdimensional computing for epileptic seizure detection,\" arXiv preprint arXiv:2105.00934, 2021."},{"key":"e_1_3_2_1_12_1","first-page":"137","article-title":"Hyperdimensional computing-based multimodality emotion recognition with physiological signals","author":"Chang E.-J.","year":"2019","unstructured":"E.-J. Chang et al., \"Hyperdimensional computing-based multimodality emotion recognition with physiological signals,\" in AICAS. IEEE, 2019, pp. 137--141.","journal-title":"AICAS. IEEE"},{"key":"e_1_3_2_1_13_1","first-page":"536","article-title":"Detection of epileptic seizures from surface eeg using hyperdimensional computing","author":"Asgarinejad F.","year":"2020","unstructured":"F. Asgarinejad et al., \"Detection of epileptic seizures from surface eeg using hyperdimensional computing,\" in EMBC. IEEE, 2020, pp. 536--540.","journal-title":"EMBC. IEEE"},{"key":"e_1_3_2_1_14_1","unstructured":"\"Monitoring error-related potentials.\" 2020. [Online]. Available: http:\/\/bnci-horizon-2020.eu\/database\/data-sets"},{"issue":"4","key":"e_1_3_2_1_15_1","first-page":"5","article-title":"Random features for large-scale kernel machines","volume":"3","author":"Rahimi A.","year":"2007","unstructured":"A. Rahimi, B. Recht et al., \"Random features for large-scale kernel machines.\" in NIPS, vol. 3, no. 4. Citeseer, 2007, p. 5.","journal-title":"NIPS"},{"key":"e_1_3_2_1_16_1","first-page":"1313","article-title":"Weighted sums of random kitchen sinks: replacing minimization with randomization in learning","author":"Rahimi A.","year":"2008","unstructured":"A. Rahimi and B. Recht, \"Weighted sums of random kitchen sinks: replacing minimization with randomization in learning.\" in Nips. Citeseer, 2008, pp. 1313--1320.","journal-title":"Nips. Citeseer"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0013-4694(97)00022-2"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.clinph.2017.06.254"},{"key":"e_1_3_2_1_19_1","volume-title":"CONF","author":"Ferrez P. W.","year":"2005","unstructured":"P. W. Ferrez et al., \"You are wrong!---automatic detection of interaction errors from brain waves,\" in IJCAI, no. CONF, 2005."},{"key":"e_1_3_2_1_20_1","volume-title":"Error-related eeg potentials generated during simulated brain computer interaction,\" IEEE T-BME","author":"Ferrez P.","unstructured":"P. Ferrez et al., \"Error-related eeg potentials generated during simulated brain computer interaction,\" IEEE T-BME, vol. 55, no. 3, 2008."},{"key":"e_1_3_2_1_21_1","volume-title":"Hyperdimensional computing for blind and one-shot classification of eeg error-related potentials,\" Mobile Networks and Applications","author":"Rahimi A.","year":"2020","unstructured":"A. Rahimi et al., \"Hyperdimensional computing for blind and one-shot classification of eeg error-related potentials,\" Mobile Networks and Applications, 2020."},{"key":"e_1_3_2_1_22_1","first-page":"5","article-title":"Graphd: Graph-based hyperdimensional memorization for brain-like cognitive learning","author":"Poduval P.","year":"2022","unstructured":"P. Poduval et al., \"Graphd: Graph-based hyperdimensional memorization for brain-like cognitive learning,\" Frontiers in Neuroscience, p. 5, 2022.","journal-title":"Frontiers in Neuroscience"},{"key":"e_1_3_2_1_23_1","volume-title":"Learning sensorimotor control with neuromorphic sensors: Toward hyperdimensional active perception,\" Science Robotics","author":"Mitrokhin A.","unstructured":"A. Mitrokhin et al., \"Learning sensorimotor control with neuromorphic sensors: Toward hyperdimensional active perception,\" Science Robotics, vol. 4, no. 30, 2019."},{"key":"e_1_3_2_1_24_1","volume-title":"Eventhd: Robust and efficient hyperdimensional learning with neuromorphic sensor,\" Frontiers in Neuroscience","author":"Zou Z.","year":"2022","unstructured":"Z. Zou, et al., \"Eventhd: Robust and efficient hyperdimensional learning with neuromorphic sensor,\" Frontiers in Neuroscience, vol. 16, 2022."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/2934583.2934624"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3470496.3527422"},{"key":"e_1_3_2_1_27_1","first-page":"1","article-title":"Efficient human activity recognition using hyperdimensional computing","author":"Kim Y.","year":"2018","unstructured":"Y. Kim et al., \"Efficient human activity recognition using hyperdimensional computing,\" in IOT, 2018, pp. 1--6.","journal-title":"IOT"},{"issue":"3","key":"e_1_3_2_1_28_1","first-page":"439","article-title":"A programmable hyper-dimensional processor architecture for human-centric iot","volume":"9","author":"Datta S.","year":"2019","unstructured":"S. Datta et al., \"A programmable hyper-dimensional processor architecture for human-centric iot,\" JETCAS, vol. 9, no. 3, pp. 439--452, 2019.","journal-title":"JETCAS"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3370748.3406587"},{"key":"e_1_3_2_1_30_1","first-page":"292","volume-title":"Automation & Test in Europe Conference & Exhibition (DATE). IEEE","author":"Ni Y.","year":"2022","unstructured":"Y. Ni et al., \"Algorithm-hardware co-design for efficient brain-inspired hyperdimensional learning on edge,\" in 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE). IEEE, 2022, pp. 292--297."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41928-020-0410-3"},{"issue":"10","key":"e_1_3_2_1_32_1","first-page":"2422","article-title":"Searchd: A memory-centric hyperdimensional computing with stochastic training","volume":"39","author":"Imani M.","year":"2019","unstructured":"M. Imani et al., \"Searchd: A memory-centric hyperdimensional computing with stochastic training,\" TCAD, vol. 39, no. 10, pp. 2422--2433, 2019.","journal-title":"TCAD"},{"key":"e_1_3_2_1_33_1","volume-title":"Brain-inspired computing exploiting carbon nanotube fets and resistive ram: Hyperdimensional computing case study,\" in ISSCC","author":"Wu T. F.","year":"2018","unstructured":"T. F. Wu et al., \"Brain-inspired computing exploiting carbon nanotube fets and resistive ram: Hyperdimensional computing case study,\" in ISSCC. IEEE, 2018."},{"key":"e_1_3_2_1_34_1","first-page":"445","article-title":"Exploring hyperdimensional associative memory","author":"Imani M.","year":"2017","unstructured":"M. Imani et al., \"Exploring hyperdimensional associative memory,\" in HPCA. IEEE, 2017, pp. 445--456.","journal-title":"HPCA. IEEE"}],"event":{"name":"ICCAD '22: IEEE\/ACM International Conference on Computer-Aided Design","location":"San Diego California","acronym":"ICCAD '22","sponsor":["SIGDA ACM Special Interest Group on Design Automation","IEEE-EDS Electronic Devices Society","IEEE CAS","IEEE CEDA"]},"container-title":["Proceedings of the 41st IEEE\/ACM International Conference on Computer-Aided Design"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3508352.3549477","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3508352.3549477","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3508352.3549477","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:02:58Z","timestamp":1750186978000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3508352.3549477"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,30]]},"references-count":34,"alternative-id":["10.1145\/3508352.3549477","10.1145\/3508352"],"URL":"https:\/\/doi.org\/10.1145\/3508352.3549477","relation":{},"subject":[],"published":{"date-parts":[[2022,10,30]]},"assertion":[{"value":"2022-12-22","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}