{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,17]],"date-time":"2026-02-17T23:11:35Z","timestamp":1771369895281,"version":"3.50.1"},"reference-count":42,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000269","name":"Economic and Social Research Council (ESRC) funded Business and Local Government Data Research Centre at the University of Essex","doi-asserted-by":"publisher","award":["ES\/S007156\/1"],"award-info":[{"award-number":["ES\/S007156\/1"]}],"id":[{"id":"10.13039\/501100000269","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/access.2024.3385339","type":"journal-article","created":{"date-parts":[[2024,4,8]],"date-time":"2024-04-08T21:08:34Z","timestamp":1712610514000},"page":"50698-50709","source":"Crossref","is-referenced-by-count":4,"title":["Investigating Biologically Plausible Neural Networks for Reservoir Computing Solutions"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-3077-649X","authenticated-orcid":false,"given":"Catherine Mia","family":"Sch\u00f6fmann","sequence":"first","affiliation":[{"name":"School of Computer Science and Electronic Engineering, University of Essex, Colchester, U.K"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8831-102X","authenticated-orcid":false,"given":"Maria","family":"Fasli","sequence":"additional","affiliation":[{"name":"School of Computer Science and Electronic Engineering, University of Essex, Colchester, U.K"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9765-7660","authenticated-orcid":false,"given":"Michael Taynnan","family":"Barros","sequence":"additional","affiliation":[{"name":"School of Computer Science and Electronic Engineering, University of Essex, Colchester, U.K"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","volume-title":"The \u2018echo state\u2019 approach to analysing and training recurrent neural networks-with an erratum note","author":"Jaeger","year":"2001"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1162\/089976602760407955"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1010639"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICRC.2016.7738691"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1038\/s41928-023-01069-w"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.4324\/9781410612403"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/BF00332914"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1186\/s13041-020-00567-8"},{"key":"ref9","first-page":"1","article-title":"Assessing the scalability of biologically-motivated deep learning algorithms and architectures","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"31","author":"Bartunov"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065709002002"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-87708-2_1"},{"issue":"9","key":"ref12","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 Netw."},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/S1352-2310(97)00447-0"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2016.00508"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2015.2487349"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TNB.2022.3194834"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-020-79891-x"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/MNANO.2023.3262099"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/0893-6080(91)90009-T"},{"key":"ref20","first-page":"1877","article-title":"Language models are few-shot learners","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Brown"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.cell.2015.09.029"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3390\/molecules27196256"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0019109"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3390\/ijms222312770"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.mtphys.2021.100393"},{"key":"ref26","first-page":"2256","article-title":"Deep unsupervised learning using nonequilibrium thermodynamics","volume-title":"Proc. ICML","author":"Sohl-Dickstein"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2018.00774"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s00422-006-0068-6"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1002\/wdev.306"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2211477"},{"key":"ref31","article-title":"Learning multiple layers of features from tiny images","author":"Krizhevsky","year":"2009"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2017.00682"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.6.1179"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.18-24-10464.1998"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.3389\/fninf.2018.00089"},{"key":"ref36","article-title":"Norse\u2014A deep learning library for spiking neural networks","author":"Pehle","year":"2021"},{"key":"ref37","first-page":"8024","article-title":"PyTorch: An imperative style, high-performance deep learning library","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Paszke"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.3389\/fncom.2015.00099"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TNB.2020.2975942"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1002\/cne.24674"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-019-13232-z"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.12.089"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10380310\/10491254.pdf?arnumber=10491254","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,16]],"date-time":"2024-04-16T05:05:41Z","timestamp":1713243941000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10491254\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":42,"URL":"https:\/\/doi.org\/10.1109\/access.2024.3385339","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}