{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,8]],"date-time":"2024-09-08T00:07:56Z","timestamp":1725754076378},"publisher-location":"Berlin, Heidelberg","reference-count":11,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642420504"},{"type":"electronic","value":"9783642420511"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013]]},"DOI":"10.1007\/978-3-642-42051-1_8","type":"book-chapter","created":{"date-parts":[[2013,10,29]],"date-time":"2013-10-29T05:52:20Z","timestamp":1383025940000},"page":"55-62","source":"Crossref","is-referenced-by-count":3,"title":["Spiking Neural Network for On-line Cognitive Activity Classification Based on EEG Data"],"prefix":"10.1007","author":[{"given":"Stefan","family":"Schliebs","sequence":"first","affiliation":[]},{"given":"Elisa","family":"Capecci","sequence":"additional","affiliation":[]},{"given":"Nikola","family":"Kasabov","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"issue":"2-3","key":"8_CR1","doi-asserted-by":"publisher","first-page":"124","DOI":"10.1016\/j.eplepsyres.2012.07.013","volume":"103","author":"P. Buteneers","year":"2013","unstructured":"Buteneers, P., Verstraeten, D., Nieuwenhuyse, B.V., Stroobandt, D., Raedt, R., Vonck, K., Boon, P., Schrauwen, B.: Real-time detection of epileptic seizures in animal models using reservoir computing. Epilepsy Research\u00a0103(2-3), 124\u2013134 (2013)","journal-title":"Epilepsy Research"},{"key":"8_CR2","doi-asserted-by":"publisher","first-page":"1335","DOI":"10.1017\/S0033291707000360","volume":"37","author":"W. Elst von der","year":"2007","unstructured":"von der Elst, W., van Boxtel, M.J., van Breukelen, G.P., Jolles, J.: Assessment of information processing in working memory in applied settings: the paper and pencil memory scanning test. Psychological Medicine\u00a037, 1335\u20131344 (2007)","journal-title":"Psychological Medicine"},{"key":"8_CR3","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511815706","volume-title":"Spiking Neuron Models: Single Neurons, Populations, Plasticity","author":"W. Gerstner","year":"2002","unstructured":"Gerstner, W., Kistler, W.M.: Spiking Neuron Models: Single Neurons, Populations, Plasticity. Cambridge University Press, Cambridge (2002)"},{"key":"8_CR4","unstructured":"Jaeger, H.: The \u201cecho state\u201d approach to analysing and training recurrent neural networks. Tech. rep., Fraunhofer Institute for Autonomous Intelligent Syst. (2001)"},{"key":"8_CR5","series-title":"LNAI","doi-asserted-by":"publisher","first-page":"225","DOI":"10.1007\/978-3-642-33212-8_21","volume-title":"Artificial Neural Networks in Pattern Recognition","author":"N. Kasabov","year":"2012","unstructured":"Kasabov, N.: Neucube evospike architecture for spatio-temporal modelling and pattern recognition of brain signals. In: Mana, N., Schwenker, F., Trentin, E. (eds.) ANNPR 2012. LNCS (LNAI), vol.\u00a07477, pp. 225\u2013243. Springer, Heidelberg (2012)"},{"key":"8_CR6","unstructured":"Kindermans, P.J., Buteneers, P., Verstraeten, D., Schrauwen, B.: An uncued brain-computer interface using reservoir computing. In: Workshop: Machine Learning for Assistive Technologies, Proceedings, p. 8. Ghent University, Department of Electronics and information systems (2010)"},{"issue":"11","key":"8_CR7","doi-asserted-by":"publisher","first-page":"2531","DOI":"10.1162\/089976602760407955","volume":"14","author":"W. Maass","year":"2002","unstructured":"Maass, W., Natschl\u00e4ger, T., Markram, H.: Real-time computing without stable states: A new framework for neural computation based on perturbations. Neural Computation\u00a014(11), 2531\u20132560 (2002)","journal-title":"Neural Computation"},{"issue":"9","key":"8_CR8","doi-asserted-by":"publisher","first-page":"5323","DOI":"10.1073\/pnas.95.9.5323","volume":"95","author":"H. Markram","year":"1998","unstructured":"Markram, H., Wang, Y., Tsodyks, M.: Differential signaling via the same axon of neocortical pyramidal neurons. Proceedings of the National Academy of Sciences\u00a095(9), 5323\u20135328 (1998)","journal-title":"Proceedings of the National Academy of Sciences"},{"key":"8_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"1229","DOI":"10.1007\/978-3-642-02490-0_149","volume-title":"Advances in Neuro-Information Processing","author":"S. Schliebs","year":"2009","unstructured":"Schliebs, S., Defoin-Platel, M., Kasabov, N.: Integrated feature and parameter optimization for an evolving spiking neural network. In: K\u00f6ppen, M., Kasabov, N., Coghill, G. (eds.) ICONIP 2008, Part I. LNCS, vol.\u00a05506, pp. 1229\u20131236. Springer, Heidelberg (2009)"},{"key":"8_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"604","DOI":"10.1007\/978-3-642-33269-2_76","volume-title":"Artificial Neural Networks and Machine Learning \u2013 ICANN 2012","author":"S. Schliebs","year":"2012","unstructured":"Schliebs, S., Fiasch\u00e9, M., Kasabov, N.: Constructing robust liquid state machines to process highly variable data streams. In: Villa, A.E.P., Duch, W., \u00c9rdi, P., Masulli, F., Palm, G. (eds.) ICANN 2012, Part I. LNCS, vol.\u00a07552, pp. 604\u2013611. Springer, Heidelberg (2012)"},{"key":"8_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"626","DOI":"10.1007\/978-3-642-34478-7_76","volume-title":"Neural Information Processing","author":"S. Schliebs","year":"2012","unstructured":"Schliebs, S., Hunt, D.: Continuous classification of spatio-temporal data streams using liquid state machines. In: Huang, T., Zeng, Z., Li, C., Leung, C.S. (eds.) ICONIP 2012, Part IV. LNCS, vol.\u00a07666, pp. 626\u2013633. Springer, Heidelberg (2012)"}],"container-title":["Lecture Notes in Computer Science","Neural Information Processing"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-42051-1_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,23]],"date-time":"2019-05-23T20:46:51Z","timestamp":1558644411000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-42051-1_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013]]},"ISBN":["9783642420504","9783642420511"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-42051-1_8","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2013]]}}}