A complex-valued spiking machine

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2714, Issue , 2003, Pages 967-976

  Vaucher, Gilles ^a  

^a SUPELEC Campus de Rennes   (France)

Author keywords

[No Author keywords available]

Indexed keywords

CHARACTER RECOGNITION; HUMAN COMPUTER INTERACTION; NEURAL NETWORKS; SPEECH RECOGNITION;

BIOLOGICAL NEURON; COMPLEX-VALUED NEURAL NETWORKS; DESIGN METHODOLOGY; HAND WRITTEN CHARACTER RECOGNITION; SPATIO TEMPORAL; SPATIOTEMPORAL PATTERNS; SPIKING NEURAL NETWORKS; VISUAL SPEECH RECOGNITION;

COMPLEX NETWORKS;

EID: 33646186926     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44989-2_115     Document Type: Article

References (20)

1. A. Ardouin and N. Brouard and C. Moreau and R. Plouvier and S. Rouchy and G. Vaucher. Un exemple d'interface orienté stylo à base de STANN. In Journées Neurosciences et Sciences de l'Ingénieur, Sept 2002.
2. A.R. Baig. Une approche méthodologique de l'utilisation des STAN appliquée à la reconnaissance visuelle de la parole. PhD thesis, Univ. Rennes 1 - Supélec, avril 2000.
3. A.R. Baig and R. Séguier and G. Vaucher. A Spatio-Temporal Neural Network applied to Visual Speech Recognition. In Int. Conf. on ANN, pp. 797-802, Sept. 1999.
4. G.M. Georgiou and C. Koutsougeras. Complex domain backpropagation. IEEE trans. on circuits and systems - II: Analog and digital signal processing, 39(5):330-4, May 1992.
5. W. Gerstner and W. Kistler. Spiking Neuron Models. Cambridge Univ. Presa, 2002.
6. A. Hirose. Continuous complex-valued back-propagation learning. Electronics Letters, 20(20):1854-5, Sept 1992.
7. D. Mercier. Hétéro-association de signaux audio-vidéo par réseaux de neurones. PhD thesis, Univ. Rennes 1 - Supélec, 2003.
8. D. Mercier and R. Séguier. Un prétraitement simplifié pour les STANN - Illustration en lecture labiale. In Journées Neurosciences et Sciences de l'Ingénieur. Sept 2000.
9. D. Mercier and R. Séguier. Spiking neurons (STANNs) in Speech Recognition. In 3rd WSEAS Int. Conf. on Neural Networks and Applications, Feb 2002.
10. J.R. Movellan. Visual Speech Recognition with Stochastic Networks, vol. 7, pp. 851-8. MIT Press, Cambridge. 1995. In Advances in Neural Information Processing Systems. G. Tesauro, D.S. Touretzky and T. Leen (eds).
11. N. Mozayyani. Introduction d'un codage spatio-temporel dans les architectures classiques de réseaux de neurones artificiels. PhD thesis, Univ. Rennes 1 - Supélec, Juil. 1998.
12. N. Mozayyani and V. Alanou and J.-P. Dreyfus and G. Vaucher. A spatio-temporal data-coding applied to Kohonen maps. In Int. Conf. on ANN, vol. 2, pp. 75-79. EC2 et Compagnie, Oct. 1995.
13. 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. 160-4, May 1998, Alaska.
14. N. Mozayyani and G. Vaucher. A spatio-temporal perceptron for on-line hand-written character recognition. In Springer, editor, Int. Conf. ANN, pp. 325-30, Oct 1997.
15. W. Rall and H. Agmon-Snir. Cable Theory for Dendritic Neurons, in Methods in Neuronal Modeling, chap. 2, pp. 27-92. MIT Press, 1998. C. Koch and I. Segev (eds).
16. R. Séguier and D. Mercier. Audio-Visual Speech Recognition, One Pass Learning with Spiking Neurons. In Int. Conf. on ANN, Aug 2002.
17. G. Vaucher. A la recherche d'une algèbre neuronale spatio-temporelle. PhD thesis, Univ. Rennes 1 - Supélec, Déc 1996.
18. G. Vaucher. An algebra for recognition of spatio-temporal forms. In D facto publications, editor, European Symp. on ANN, pp. 231-6, April 1997.
19. G. Vaucher. An algebraic interpretation of PSP composition. BioSystems, 48 (1-3):241-6, Sept-Dec 1998.
20. G. Vaucher and A.R. Baig and R. Séguier. A Set of Neural Tools for Human-Computer Interactions: Application to the Handwritten Character Recognition, and Visual Speech Recognitions Problems. Neural Computing & Applications, 9:297-305, dec 2000.