{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,30]],"date-time":"2025-03-30T04:01:14Z","timestamp":1743307274381,"version":"3.40.3"},"reference-count":42,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,12,16]],"date-time":"2024-12-16T00:00:00Z","timestamp":1734307200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,16]],"date-time":"2024-12-16T00:00:00Z","timestamp":1734307200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000015","name":"U.S. Department of Energy","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000015","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006132","name":"Office of Science","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006132","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,12,16]]},"DOI":"10.1109\/icrc64395.2024.10937019","type":"proceedings-article","created":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T03:23:48Z","timestamp":1743132228000},"page":"1-15","source":"Crossref","is-referenced-by-count":0,"title":["Hyperdimensional Computing Provides Computational Paradigms for Oscillatory Systems"],"prefix":"10.1109","author":[{"given":"Wilkie","family":"Olin-Ammentorp","sequence":"first","affiliation":[{"name":"Argonne National Laboratory,Mathematics &amp; Computer Science Division,Illinois,60439"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.2899115"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3282307"},{"key":"ref3","first-page":"3","article-title":"High-performance hardware for machine learning","volume":"2","author":"Dally","year":"2015","journal-title":"Nips Tutorial"},{"key":"ref4","article-title":"International roadmap for devices and systems (irds tm) 2022 edition: Beyond cmos and emerging research devices","year":"2022"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-020-03063-0"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3467017"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3430936"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/HPEC58863.2023.10363568"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/MCAS.2021.3092533"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1002\/aisy.202000115"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TVLSI.2017.2754192"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1063\/1.5120412"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s12559-009-9009-8"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s13218-019-00623-z"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3538531"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3558000"},{"key":"ref17","first-page":"1","article-title":"Vector symbolic architectures as a computing framework for nanoscale hardware","author":"Kleyko","year":"2021"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/72.377968"},{"key":"ref19","volume-title":"Holographic Reduced Representation: Distributed Representation for Cognitive Structures.","author":"Plate","year":"2003"},{"key":"ref20","article-title":"Residual and attentional architectures for vector-symbols","author":"Olin-Ammentorp","year":"2022"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ijcnn55064.2022.9891951"},{"key":"ref22","article-title":"Deep learning in spiking phasor neural networks","author":"Bybee","year":"2022"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1902653116"},{"key":"ref24","first-page":"1","article-title":"Resonator circuits for factoring high-dimensional vectors","author":"Kent","year":"2019"},{"key":"ref25","article-title":"Resonator networks for factoring distributed representations of data structures","author":"Frady","year":"2020"},{"key":"ref26","doi-asserted-by":"crossref","DOI":"10.1145\/3589737.3605982","article-title":"Hyperdimensional computing with spiking-phasor neurons","author":"Orchard","year":"2023"},{"key":"ref27","first-page":"3","article-title":"Synchronization: A universal concept in nonlinear sciences","volume":"2","author":"Pikovsky","year":"2001","journal-title":"Self"},{"issue":"6-7","key":"ref28","doi-asserted-by":"crossref","first-page":"883","DOI":"10.1016\/S0893-6080(01)00078-8","article-title":"Resonate-and-fire neurons","volume":"14","author":"Izhikevich","year":"2001","journal-title":"Neural Networks"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2022.757125"},{"key":"ref30","article-title":"A distributed basis for analogical mapping","author":"Gayler","year":"2009"},{"key":"ref31","first-page":"1","article-title":"Resonator circuits for factoring high-dimensional vectors","author":"Kent","year":"2019"},{"key":"ref32","first-page":"1","article-title":"Resonator networks for factoring distributed representations of data structures","author":"Frady","year":"2020"},{"key":"ref33","article-title":"Oil and water: Diffusion of ai within and across scientific fields","author":"Duede","year":"2024"},{"key":"ref34","article-title":"Data centres improved greatly in energy efficiency as they grew massively larger","volume-title":"The Economist","year":"2024"},{"issue":"6","key":"ref35","doi-asserted-by":"crossref","first-page":"064017","DOI":"10.1088\/1748-9326\/abfba1","article-title":"The environmental footprint of data centers in the united states","volume":"16","author":"Siddik","year":"2021","journal-title":"Environmental Research Letters"},{"key":"ref36","article-title":"A differentiable programming system to bridge machine learning and scientific computing","author":"Innes","year":"2019"},{"key":"ref37","article-title":"Deep Learning in Spiking Phasor Neural Networks","author":"Bybee","year":"2022"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1088\/2632-2153\/ad6a00"},{"key":"ref39","first-page":"4523","article-title":"A comparison of vector symbolic architectures","volume-title":"Artificial Intelligence Review","volume":"55","author":"Schlegel","year":"2022"},{"key":"ref40","article-title":"Unviersal Differential Equations for Scientific Machine Learning","author":"Rackauckas","year":"2020"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2018.2872064"},{"key":"ref42","first-page":"445","article-title":"Exploring hyperdimensional associative memory","volume-title":"2017 IEEE International Symposium on High Performance Computer Architecture (HPCA)","author":"Imani"}],"event":{"name":"2024 IEEE International Conference on Rebooting Computing (ICRC)","location":"San Diego, CA, USA","start":{"date-parts":[[2024,12,16]]},"end":{"date-parts":[[2024,12,17]]}},"container-title":["2024 IEEE International Conference on Rebooting Computing (ICRC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10936635\/10936996\/10937019.pdf?arnumber=10937019","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,29]],"date-time":"2025-03-29T03:09:01Z","timestamp":1743217741000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10937019\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,16]]},"references-count":42,"URL":"https:\/\/doi.org\/10.1109\/icrc64395.2024.10937019","relation":{},"subject":[],"published":{"date-parts":[[2024,12,16]]}}}