{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,28]],"date-time":"2025-02-28T03:40:01Z","timestamp":1740714001617,"version":"3.38.0"},"publisher-location":"Berlin, Heidelberg","reference-count":20,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540404088"},{"type":"electronic","value":"9783540449898"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2003]]},"DOI":"10.1007\/3-540-44989-2_115","type":"book-chapter","created":{"date-parts":[[2010,11,19]],"date-time":"2010-11-19T22:10:02Z","timestamp":1290204602000},"page":"967-976","source":"Crossref","is-referenced-by-count":3,"title":["A Complex-Valued Spiking Machine"],"prefix":"10.1007","author":[{"given":"Gilles","family":"Vaucher","sequence":"first","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2003,6,18]]},"reference":[{"key":"115_CR1","unstructured":"A. Ardouin and N. Brouard and C. Moreau and R. Plouvier and S. Rouchy and G. Vaucher. Un exemple d\u2019interface orient\u00e9 stylo \u00e0 base de STANN. In Journ\u00e9es Neurosciences et Sciences de l\u2019Ing\u00e9nieur, Sept 2002."},{"key":"115_CR2","unstructured":"A.R. Baig. Une approche m\u00e9thodologique de l\u2019utilisation des STAN appliqu\u00e9e \u00e0 la reconnaissance visuelle de la parole. PhD thesis, Univ. Rennes 1\u2013Sup\u00e9lec, avril 2000."},{"key":"115_CR3","doi-asserted-by":"crossref","unstructured":"A.R. Baig and R. S\u00e9guier and G. Vaucher. A Spatio-Temporal Neural Network applied to Visual Speech Recognition. In Int. Conf. on ANN, pp. 797\u2013802, Sept. 1999.","DOI":"10.1049\/cp:19991209"},{"issue":"5","key":"115_CR4","doi-asserted-by":"publisher","first-page":"330","DOI":"10.1109\/82.142037","volume":"39","author":"G.M. Georgiou","year":"1992","unstructured":"G.M. Georgiou and C. Koutsougeras. Complex domain backpropagation. IEEE trans. on circuits and systems\u2013II: Analog and digital signal processing, 39(5):330\u20134, May 1992.","journal-title":"IEEE trans. on circuits and systems\u2013II: Analog and digital signal processing"},{"key":"115_CR5","doi-asserted-by":"crossref","unstructured":"W. Gerstner and W. Kistler. Spiking Neuron Models. Cambridge Univ. Press, 2002.","DOI":"10.1017\/CBO9780511815706"},{"issue":"20","key":"115_CR6","doi-asserted-by":"publisher","first-page":"1854","DOI":"10.1049\/el:19921186","volume":"20","author":"A. Hirose","year":"1992","unstructured":"A. Hirose. Continuous complex-valued back-propagation learning. Electronics Letters, 20(20):1854\u20135, Sept 1992.","journal-title":"Electronics Letters"},{"key":"115_CR7","unstructured":"D. Mercier. H\u00e9t\u00e9ro-association de signaux audio-vid\u00e9o par r\u00e9seaux de neurones. PhD thesis, Univ. Rennes 1\u2013Sup\u00e9lec, 2003."},{"key":"115_CR8","unstructured":"D. Mercier and R. S\u00e9guier. Un pr\u00e9traitement simplifi\u00e9 pour les STANN\u2013Illustration en lecture labiale. In Journ\u00e9es Neurosciences et Sciences de l\u2019Ing\u00e9nieur. Sept 2000."},{"key":"115_CR9","unstructured":"D. Mercier and R. S\u00e9guier. Spiking neurons (STANNs) in Speech Recognition. In 3rd WSEAS Int. Conf. on Neural Networks and Applications, Feb 2002."},{"key":"115_CR10","first-page":"851","volume-title":"Advances in Neural Information Processing Systems","author":"J.R. Movellan","year":"1995","unstructured":"J.R. Movellan. Visual Speech Recognition with Stochastic Networks. vol. 7, pp. 851\u20138. MIT Press, Cambridge. 1995. In Advances in Neural Information Processing Systems. G. Tesauro, D.S. Touretzky and T. Leen (eds)."},{"key":"115_CR11","unstructured":"N. Mozayyani. Introduction d\u2019un codage spatio-temporel dans les architectures classiques de r\u00e9seaux de neurones artificiels. PhD thesis, Univ. Rennes 1\u2013Sup\u00e9lec, Juil. 1998."},{"key":"115_CR12","first-page":"75","volume":"2","author":"N. Mozayyani","year":"1995","unstructured":"N. Mozayyani and V. Alanou and J.-F. Dreyfus and G. Vaucher. A spatio-temporal data-coding applied to Kohonen maps. In Int. Conf. on ANN, vol. 2, pp. 75\u201379.E C2 et Compagnie, Oct. 1995.","journal-title":"Int. Conf. on ANN"},{"key":"115_CR13","doi-asserted-by":"crossref","unstructured":"N. Mozayyani and A.R. Baig and G. Vaucher. A Fully-Neural Solution for on-Line Handwritten Character Recognition. IEEE Int. Joint Conf. on Neural Networks, pp. 160\u20134, May 1998, Alaska.","DOI":"10.1109\/IJCNN.1998.682255"},{"key":"115_CR14","doi-asserted-by":"crossref","unstructured":"N. Mozayyani and G. Vaucher. A spatio-temporal perceptron for on-line handwritten character recognition. In Springer, editor, Int. Conf. ANN, pp. 325\u201330, Oct 1997.","DOI":"10.1007\/BFb0020175"},{"key":"115_CR15","unstructured":"W. Rall and H. Agmon-Snir. Cable Theory for Dendritic Neurons, in Methods in Neuronal Modeling, chap. 2, pp. 27\u201392. MIT Press, 1998. C. Koch and I. Segev (eds)."},{"key":"115_CR16","doi-asserted-by":"crossref","unstructured":"R. S\u00e9guier and D. Mercier. Audio-Visual Speech Recognition, One Pass Learning with Spiking Neurons. In Int. Conf. on ANN, Aug 2002.","DOI":"10.1007\/3-540-46084-5_195"},{"key":"115_CR17","unstructured":"G. Vaucher. A la recherche d\u2019une alg\u00e9bre neuronale spatio-temporelle. PhD thesis, Univ. Rennes 1\u2013Sup\u00e9lec, D\u00e9c 1996."},{"key":"115_CR18","unstructured":"G. Vaucher. An algebra for recognition of spatio-temporal forms. In D facto publications, editor, European Symp. on ANN, pp. 231\u20136, April 1997."},{"issue":"1\u20133","key":"115_CR19","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1016\/S0303-2647(98)00077-X","volume":"48","author":"G. Vaucher","year":"1998","unstructured":"G. Vaucher. An algebraic interpretation of PSP composition. BioSystems, 48(1\u20133):241\u20136, Sept\u2013Dec 1998.","journal-title":"BioSystems"},{"key":"115_CR20","doi-asserted-by":"crossref","unstructured":"G. Vaucher and A.R. Baig and R. S\u00e9guier. A Set of Neural Tools for Human-Computer Interactions: Application to the Handwritten Character Recognition, and Visual Speech Recognitions Problems. Neural Computing & Applications,9:297\u2013305, dec 2000.","DOI":"10.1007\/s005210070007"}],"container-title":["Lecture Notes in Computer Science","Artificial Neural Networks and Neural Information Processing \u2014 ICANN\/ICONIP 2003"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/3-540-44989-2_115","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,28]],"date-time":"2025-02-28T02:51:24Z","timestamp":1740711084000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/3-540-44989-2_115"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2003]]},"ISBN":["9783540404088","9783540449898"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/3-540-44989-2_115","relation":{},"ISSN":["0302-9743"],"issn-type":[{"type":"print","value":"0302-9743"}],"subject":[],"published":{"date-parts":[[2003]]}}}