{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T19:57:29Z","timestamp":1760385449871},"publisher-location":"Cham","reference-count":12,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319265346"},{"type":"electronic","value":"9783319265353"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015]]},"DOI":"10.1007\/978-3-319-26535-3_22","type":"book-chapter","created":{"date-parts":[[2015,11,9]],"date-time":"2015-11-09T05:25:49Z","timestamp":1447046749000},"page":"190-197","source":"Crossref","is-referenced-by-count":8,"title":["EDL: An Extended Delay Learning Based Remote Supervised Method for Spiking Neurons"],"prefix":"10.1007","author":[{"given":"Aboozar","family":"Taherkhani","sequence":"first","affiliation":[]},{"given":"Ammar","family":"Belatreche","sequence":"additional","affiliation":[]},{"given":"Yuhua","family":"Li","sequence":"additional","affiliation":[]},{"given":"Liam P.","family":"Maguire","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2015,11,10]]},"reference":[{"key":"22_CR1","doi-asserted-by":"publisher","first-page":"513","DOI":"10.1201\/b14756-30","volume-title":"Principles of Neural Coding Anonymous","author":"T Masquelier","year":"2013","unstructured":"Masquelier, T., Deco, G.: Learning and coding in neural networks. Principles of Neural Coding Anonymous, pp. 513\u2013526. CRC Press, Boca Raton (2013)"},{"key":"22_CR2","doi-asserted-by":"publisher","first-page":"715","DOI":"10.1016\/S0893-6080(01)00083-1","volume":"14","author":"S Thorpe","year":"2001","unstructured":"Thorpe, S., Delorme, A., Van Rullen, R.: Spike-based strategies for rapid processing. Neural Netw. 14, 715\u2013725 (2001)","journal-title":"Neural Netw."},{"key":"22_CR3","unstructured":"Vreeken, J.: Spiking neural networks, an introduction, Technical Report UU-CS, pp. 1\u20135 (2003)"},{"key":"22_CR4","first-page":"1","volume":"PP","author":"A Taherkhani","year":"2015","unstructured":"Taherkhani, A., Belatreche, A., Li, Y., Maguire, L.P.: DL-ReSuMe: a delay learning based remote supervised method for spiking neurons. IEEE Trans. Neural Netw. Learn. Syst. PP, 1 (2015)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"22_CR5","unstructured":"Taherkhani, A., Belatreche, A., Li, Y., Maguire, L.: A new biologically plausible supervised learning method for spiking neurons. In: Proceedings of ESANN, Bruges (Belgium) (2014)"},{"key":"22_CR6","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1016\/S0925-2312(01)00658-0","volume":"48","author":"SM Bohte","year":"2002","unstructured":"Bohte, S.M., Kok, J.N., La Poutre, H.: Error-backpropagation in temporally encoded networks of spiking neurons. Neurocomputing 48, 17\u201337 (2002)","journal-title":"Neurocomputing"},{"key":"22_CR7","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1016\/j.neunet.2013.02.003","volume":"43","author":"Y Xu","year":"2013","unstructured":"Xu, Y., Zeng, X., Han, L., Yang, J.: A supervised multi-spike learning algorithm based on gradient descent for spiking neural networks. Neural Netw. 43, 99\u2013113 (2013)","journal-title":"Neural Netw."},{"key":"22_CR8","first-page":"239","volume":"11","author":"A Belatreche","year":"2007","unstructured":"Belatreche, A., Maguire, L., McGinnity, M.: Advances in design and application of spiking neural networks. Soft Comput. Fusion of Found. Methodol. Appl. 11, 239\u2013248 (2007)","journal-title":"Soft Comput. Fusion of Found. Methodol. Appl."},{"key":"22_CR9","doi-asserted-by":"publisher","first-page":"467","DOI":"10.1162\/neco.2009.11-08-901","volume":"22","author":"F Ponulak","year":"2010","unstructured":"Ponulak, F., Kasi\u0144ski, A.: Supervised learning in spiking neural networks with ReSuMe: sequence learning, classification, and spike shifting. Neural Comput. 22, 467\u2013510 (2010)","journal-title":"Neural Comput."},{"key":"22_CR10","doi-asserted-by":"crossref","unstructured":"Taherkhani, A., Belatreche, A., Yuhua, L., Liam, P.M.: Multi-DL-ReSuMe: Multiple neurons delay learning remote supervised method. IN: The 2015 International Joint Conference on Neural Networks (IJCNN), Killarney, Ireland (2015)","DOI":"10.1109\/IJCNN.2015.7280743"},{"key":"22_CR11","doi-asserted-by":"publisher","first-page":"459","DOI":"10.1007\/s00422-008-0233-1","volume":"98","author":"A Morrison","year":"2008","unstructured":"Morrison, A., Diesmann, M., Gerstner, W.: Phenomenological models of synaptic plasticity based on spike timing. Biol. Cybern. 98, 459\u2013478 (2008)","journal-title":"Biol. Cybern."},{"key":"22_CR12","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1162\/089976606775093882","volume":"18","author":"EM Izhikevich","year":"2006","unstructured":"Izhikevich, E.M.: Polychronization: computation with spikes. Neural Comput. 18, 245\u2013282 (2006)","journal-title":"Neural Comput."}],"container-title":["Lecture Notes in Computer Science","Neural Information Processing"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-26535-3_22","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,31]],"date-time":"2019-05-31T16:40:23Z","timestamp":1559320823000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-26535-3_22"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319265346","9783319265353"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-26535-3_22","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2015]]}}}