Asynchrony in a distributed modular neural network for multimodal integration

Proceedings of the IASTED International Conference on Parallel and Distributed Computing and Systems

Volumn 15, Issue 2, 2003, Pages 588-593

  Bouchut, Yannick ^a   Paugam Moisy, Hélène ^a   Puzenat, Didier ^b  

^a INSTITUT DES SCIENCES COGNITIVES   (France)

^b UNIVERSITÉ DES ANTILLES ET DE LA GUYANE   (France)

Author keywords

Asynchrony; Modelling and Simulation; Neural Networks; Parallel Algorithms and Architectures

Indexed keywords

COGNITIVE SYSTEMS; COMPUTATION THEORY; COMPUTER ARCHITECTURE; COMPUTER SIMULATION; MATHEMATICAL MODELS; PARALLEL ALGORITHMS; VECTORS; VIRTUAL REALITY;

DISTRIBUTED MODULAR NEURAL NETWORKS; MULTIMODAL INTEGRATION;

NEURAL NETWORKS;

EID: 1542537793     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (24)

1. G. Fox, S. Otto, and A. Hey. Matrix algorithm on a hypercube: Matrix multiplication. Parallel Computing, 4, 1987.
2. D.P. Bertsekas and J.N. Tsitsiklis. Parallel Distributed Computation: Numerical methods. Prentice-Hall, 1989.
3. J. Ghosh and K. Hwang. Mapping neural networks onto message-passing multicomputers. Journal of Parallel and Distributed Computing, (6):291-330, 1989.
4. N. Dodd. Graph matching by stochastic optimization applied to the implementation of multi-layer perceptrons on transputer networks. Parallel Computing, (10):135-142, 1989.
5. H. Paugam-Moisy. Multiprocessor simulation of neural networks. In M. Arbib, editor, The Handbook of Brain Theory and Neural Networks, pages 605-608. The MIT Press, 1995.
6. V. Demian, F. Desprez, H. Paugam-Moisy, and M. Pourzandi. Parallel implementation of rbf neural networks. In EURO-PAR '96, Parallel Processing, Lecture Notes in Computer Science, volume 1124, pages 243-250. Springer, 1996.
7. P.A. Estévez, H. Paugam-Moisy, D. Puzenat, and M. Ugarte. A scalable parallel algorithm for training a hierarchical mixture of neural networks. Parallel Computing, 28:861-891, 2002.
8. I. Pitas, editor. Parallel Algorithms for Digital Image Processing, Computer Vision and Neural Networks. John WILEY, 1993.
9. 9] H. Paugam-Moisy, D. Puzenat, E. Reynaud, and J.-P. Magué. Neural networks for modeling memory: Case studies. In M. Verleysen, editor, 10th Europ. Symp. on Artificial Neural Networks, pages 71-82, 2002.
10. W. H. Sumby and I. Pollack. Visual contributions to speech intelligibility in noise. Journal of the Acoustical Society of America, 26:212-215, 1954.
11. E. Reynaud, A. Crépet, H. Paugam-Moisy, and D. Puzenat. A computational model for binding sensory modalities. Consciousness and Cognition, (4th Conference of the Association for the Scientific Study of Consciousness), 2000.
12. E. Reynaud. Modélisation connexionniste d'une mémoire associative multimodale (in French). PhD thesis, Institut National Polyechnique de Grenoble, Oct 2002.
13. S. M. Kosslyn and O. Koenig. Wet Mind: The new cognitive neuroscience (2nd edition). The Free Press, New-York, 1995.
14. A. Crépet, H. Paugam-Moisy, E. Reynaud, and D. Puzenat. A modular neural model for binding several modalities. In H. R. Arabnia, editor, IC-AI'2000, Int. Conf. on Artificial Intelligence, pages 921-928, 2000.
15. A. Azcarraga and A. Giacometti. A prototype-based incremental network model for classification tasks. In Proceedings of Neuro-Nîmes, pages 121-134, 1991.
16. D. Puzenat. Priming an artificial neural classifier. In IWANN'95, From Natural to Artificial Neural Computation, Lecture Notes in Computer Science, volume 930, pages 559-565. Springer, 1995.
17. B. Kosko. Adaptive bidirectional associative memory. Applied Optics, 26:4947-4960, 1987.
18. B. Kosko. Bidirectional associative memory. IEEE Trans. on Systems, Man and Cybernetics, 18:49-60, 1988.
19. H. Oh and S.C. Kothari. Adaptation of the relaxation method for learning in bidirectional associative memory. IEEE Trans. on Neural Networks, 5(4):576-583, 1994.
20. H. Paugam-Moisy and E. Reynaud. Multi-network system for sensory integration. In IJCNN'2001, Int. Joint Conf. on Neural Networks, pages 2343-2348, 2001.
21. E. Reynaud and D. Puzenat. A multisensory identification system for robotics. In IJCNN 2001, Int. Joint Conf. on Neural Networks, pages 2924-2929, 2001.
22. Y. Bouchut. Modèle distribué et étude de l'aspect temporel pour une mémoire associative multimodale (in french). Master's thesis, Université Lyon 2, 2003.
23. A. Dickinson and D. Shanks. Instrumental action and causal representation. In D. Sperber, D. Premack, and A.J. Premack, editors, Causal cognition: A multidisciplinary debate, pages 5-25. Oxford University Press, 1995.
24. L. Nadel, editor. Encyclopedia of Cognitive Science. nature publishing group, 2002.