{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,3]],"date-time":"2026-02-03T12:01:52Z","timestamp":1770120112387,"version":"3.49.0"},"reference-count":42,"publisher":"World Scientific Pub Co Pte Ltd","issue":"03","funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62476230"],"award-info":[{"award-number":["62476230"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"New Chongqing Youth Innovation Talent Project","award":["CSTB2024NSCQ-QCXMX0070"],"award-info":[{"award-number":["CSTB2024NSCQ-QCXMX0070"]}]},{"DOI":"10.13039\/501100012476","name":"Fundamental Research Funds for Central Universities of the Central South University","doi-asserted-by":"publisher","award":["SWU-KR22046"],"award-info":[{"award-number":["SWU-KR22046"]}],"id":[{"id":"10.13039\/501100012476","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Bifurcation Chaos"],"published-print":{"date-parts":[[2026,3,15]]},"abstract":"<jats:p>Given the extensive applications of deep neural networks in various scenarios, research efforts have increasingly concentrated on deploying neural networks on edge devices to mitigate data transmission costs. However, a significant disparity exists between the hardware capabilities of edge devices and the computational power requirements of deep neural networks. In this work, we propose a memristive neuromorphic network with a reconfigurable spike transformer circuit (SpikeMT). It offers a low-power intelligent solution for edge devices. Additionally, it facilitates the deployment of multipurpose neuromorphic networks. A reconfigurable memristive spiking neuron is specifically designed for spiking transformers, enhancing the biological characteristics of artificial neuronal circuits. Furthermore, the memristive neurons serve as the core operators in the proposed memristive spiking self-attention circuits. They facilitate the integration of the self-attention mechanism within a spike-driven paradigm without the need of analog-to-digital converters. Notably, heterogeneous data can be processed at the edge without altering the hardware architecture of SpikeMT. Experimental results demonstrate that the proposed SpikeMT is advantageous in computational efficiency and supports vision tasks, promoting the development of edge AI devices.<\/jats:p>","DOI":"10.1142\/s0218127426500367","type":"journal-article","created":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T02:33:22Z","timestamp":1765506802000},"source":"Crossref","is-referenced-by-count":0,"title":["SpikeMT: A Spike-Driven Memristive Transformer Circuit for Heterogeneous Data Processing"],"prefix":"10.1142","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-9601-2595","authenticated-orcid":false,"given":"Jiawei","family":"Liu","sequence":"first","affiliation":[{"name":"College of Artificial Intelligence, Southwest University, Beibei, Chongqing 400715, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-0638-9335","authenticated-orcid":false,"given":"Haohang","family":"Sun","sequence":"additional","affiliation":[{"name":"College of Artificial Intelligence, Southwest University, Beibei, Chongqing 400715, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-6045-8959","authenticated-orcid":false,"given":"Qi","family":"Cheng","sequence":"additional","affiliation":[{"name":"College of Artificial Intelligence, Southwest University, Beibei, Chongqing 400715, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-0334-5705","authenticated-orcid":false,"given":"Haofeng","family":"Ran","sequence":"additional","affiliation":[{"name":"College of Artificial Intelligence, Southwest University, Beibei, Chongqing 400715, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-9839-2947","authenticated-orcid":false,"given":"Yue","family":"Zhou","sequence":"additional","affiliation":[{"name":"College of Artificial Intelligence, Southwest University, Chongqing Key Laboratory of Brain-inspired Computing and Intelligent Chips, Beibei, Chongqing 400715, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3764-2640","authenticated-orcid":false,"given":"Xiaofang","family":"Hu","sequence":"additional","affiliation":[{"name":"College of Artificial Intelligence, Southwest University, Chongqing Key Laboratory of Brain-inspired Computing and Intelligent Chips, Beibei, Chongqing 400715, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2025,12,11]]},"reference":[{"key":"S0218127426500367BIB001","doi-asserted-by":"publisher","DOI":"10.1038\/ncomms3072"},{"key":"S0218127426500367BIB002","doi-asserted-by":"publisher","DOI":"10.1109\/JETCAS.2015.2435512"},{"key":"S0218127426500367BIB003","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.781"},{"key":"S0218127426500367BIB004","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP49357.2023.10096966"},{"key":"S0218127426500367BIB005","doi-asserted-by":"publisher","DOI":"10.1109\/TBCAS.2024.3480272"},{"key":"S0218127426500367BIB006","doi-asserted-by":"publisher","DOI":"10.1109\/TBCAS.2024.3436837"},{"key":"S0218127426500367BIB007","unstructured":"Dosovitskiy, A., Beyer, L., Kolesnikov, A.\n                      et al.\n                      [2020] \u201cAn image is worth 16\u00d716 words: Transformers for image recognition at scale,\u201d arXiv preprint arXiv:2010.11929."},{"key":"S0218127426500367BIB008","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00266"},{"key":"S0218127426500367BIB009","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00286"},{"key":"S0218127426500367BIB010","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2023.3263672"},{"key":"S0218127426500367BIB011","doi-asserted-by":"publisher","DOI":"10.1109\/TBCAS.2023.3324574"},{"key":"S0218127426500367BIB012","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS48785.2022.9937269"},{"key":"S0218127426500367BIB013","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.277"},{"key":"S0218127426500367BIB014","doi-asserted-by":"publisher","DOI":"10.1109\/TCSII.2022.3233396"},{"key":"S0218127426500367BIB015","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2024.3429360"},{"key":"S0218127426500367BIB016","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/164"},{"key":"S0218127426500367BIB017","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58568-6_9"},{"key":"S0218127426500367BIB018","unstructured":"Loshchilov, I. & Hutter, F. [2017] \u201cDecoupled weight decay regularization,\u201d arXiv preprint arXiv: 1711.05101."},{"key":"S0218127426500367BIB019","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(97)00011-7"},{"key":"S0218127426500367BIB020","unstructured":"OpenAI [2023] \u201cGPT-4 technical report,\u201d arXiv preprint arXiv:2303.08774."},{"key":"S0218127426500367BIB021","unstructured":"OpenAI [2024] https:\/\/openai.com\/sora."},{"key":"S0218127426500367BIB022","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00555"},{"key":"S0218127426500367BIB023","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-019-1677-2"},{"key":"S0218127426500367BIB024","doi-asserted-by":"publisher","DOI":"10.1109\/ECCTD.2013.6662306"},{"key":"S0218127426500367BIB025","unstructured":"Touvron, H., Lavril, T., Izacard, G.\n                      et al.\n                      [2023] \u201cLlama: Open and efficient foundation language models,\u201d arXiv preprint arXiv:2302.13971."},{"key":"S0218127426500367BIB026","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS51556.2021.9401586"},{"key":"S0218127426500367BIB027","first-page":"5998","volume":"30","author":"Vaswani A.","year":"2017","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"S0218127426500367BIB028","doi-asserted-by":"publisher","DOI":"10.1038\/s41928-018-0023-2"},{"key":"S0218127426500367BIB029","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i1.25081"},{"key":"S0218127426500367BIB030","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2022.3164073"},{"key":"S0218127426500367BIB031","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2023\/344"},{"key":"S0218127426500367BIB032","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP48485.2024.10446699"},{"key":"S0218127426500367BIB033","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2019.2934357"},{"key":"S0218127426500367BIB034","doi-asserted-by":"publisher","DOI":"10.1142\/S0218127423300239"},{"key":"S0218127426500367BIB035","doi-asserted-by":"publisher","DOI":"10.1109\/JETCAS.2023.3237582"},{"key":"S0218127426500367BIB036","doi-asserted-by":"publisher","DOI":"10.1109\/TCSII.2023.3298910"},{"key":"S0218127426500367BIB037","doi-asserted-by":"publisher","DOI":"10.3390\/brainsci12070863"},{"key":"S0218127426500367BIB038","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2021.3136355"},{"key":"S0218127426500367BIB039","doi-asserted-by":"publisher","DOI":"10.1002\/aisy.202200029"},{"key":"S0218127426500367BIB040","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-020-1942-4"},{"key":"S0218127426500367BIB041","first-page":"64043","volume":"36","author":"Yao M.","year":"2024","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"S0218127426500367BIB042","unstructured":"Zhou, Z., Zhu, Y., He, C.\n                      et al.\n                      [2022] \u201cSpikformer: When spiking neural network meets transformer,\u201d arXiv preprint arXiv:2209.15425."}],"container-title":["International Journal of Bifurcation and Chaos"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218127426500367","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,3]],"date-time":"2026-02-03T01:09:14Z","timestamp":1770080954000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/10.1142\/S0218127426500367"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,11]]},"references-count":42,"journal-issue":{"issue":"03","published-print":{"date-parts":[[2026,3,15]]}},"alternative-id":["10.1142\/S0218127426500367"],"URL":"https:\/\/doi.org\/10.1142\/s0218127426500367","relation":{},"ISSN":["0218-1274","1793-6551"],"issn-type":[{"value":"0218-1274","type":"print"},{"value":"1793-6551","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,12,11]]},"article-number":"2650036"}}