Emergence of symbolic behavior from brain like memory with dynamic attention

Neural Networks

Volumn 12, Issue 7-8, 1999, Pages 1157-1172

  Omori, T ^a   Mochizuki, A ^b   Mizutani, K ^a   Nishizaki, M ^c  

^a TOKYO UNIVERSITY OF AGRICULTURE AND TECHNOLOGY   (Japan)

^b SUN MICROSYSTEMS   (United States)

^c University of Tokyo   (Japan)

Author keywords

Associative memory; Attention; Computational theory; Hippocampus; Inference; Model; PATON; Symbolic behavior

Indexed keywords

ASSOCIATIVE STORAGE; COMPUTATION THEORY; COMPUTER SIMULATION; INFERENCE ENGINES; ROBOT LEARNING;

ATTENTION; COMPUTATIONAL THEORY; HIPPOCAMPUS; SYMBOLIC BEHAVIOR;

NEURAL NETWORKS;

ARTICLE; ASSOCIATIVE MEMORY; ATTENTION; BEHAVIORAL SCIENCE; COMPUTER SIMULATION; COMPUTER SYSTEM; HIPPOCAMPUS; HUMAN; LANGUAGE; MODEL; NONHUMAN; PREFRONTAL CORTEX; PRIORITY JOURNAL; ROBOTICS; SENSORY STIMULATION;

EID: 0033213767     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0893-6080(99)00054-4     Document Type: Article

References (24)

1. Aleksander I. Impossible Minds: My Neurons, My Consciousness. 1996;Imperial College Press, London.
2. Aleksander I., Browne C., Dunmall B., Wright T. Towards visual awareness in a neural system. Amari S., Kasabov N., et al. Brain-like Computing and Intelligent Information Systems. 1997;513-533 Springer, Berlin.
3. Carpenter G., Grossberg S. A massively parallel architecture for a self-organizing neural pattern recognition machine. Computer Visions, Graphics, Image Processing. 37:1987;54-115.
4. Date, A. (1996). Generation of random patterns of neuronal activity by network models and its mathematical properties. Technical Report of IEICE, NC96-14.
5. Elman J.L. Learning and development in neural networks: the importance of starting small. Cognition. 48:1993;71-99.
6. Hanard S. The symbol grounding problem. Physica. D42:1990;335.
7. Heicht-Nielsen, R. (1998). A theory of cerebral cortex. In: Proceedings Of ICONIP'98 (pp. 1459-1464).
8. Kasabov N. A framework for intelligent conscious machines using fuzzy neural networks and spatial-temporal maps and a case study of multilingual speech recognition. Amari S., Kasabov N. Brain-like Computing and Intelligent Information Systems. 1997;Springer, Berlin.
9. Liu Ming Jun, et al. Averaged and single-trial analysis of cortical activation sequences in movement preparation, initiation, and inhibition. Human Brain Mapping. 4:1996;254-264.
10. Miikkulainen R. Subsymbolic Natural Language Processing. 1993;MIT Press, Cambridge, MA.
11. Mizutani, K., & Omori, T. (1997). A model of logic like inference by memory model PATON. Proceedings of ICANN97 (International Conference on Artificial Neural Networks) (pp. 775-780).
12. Nakano K., Niizuma S., Omori T. Model of neural visual system with self-organizing cells. Biological Cybernetics. 60:1988;720-727.
13. Omori T., Yamagishi N. PATON: a model of concept representation and operation in brain. Proceedings of International Conference on Neural Network. 94:1994;2227-2232.
14. Omori T., Mochizuki A. PATON: a model of context dependent memory access by an attention mechanism. Moreno-Diaz R., Mira-Mira J. Brain Processes, Theories and Models. 1996;134-143 MIT Press, Cambridge, MA.
15. Omori, T., Nishizaki, M., & Mochizuki, A. (1997). A model of logical inference like association by distributed pattern memory. Proceedings of ICONIP'97 (pp. 754-757).
16. Omori, T. (1996). Theory of symbol and pattern integration by associative memory with attention. Proceedings of MFI96 (International Conference on Neural Information Processing) (pp. 438-445).
17. Ono T., Nakamura K., Nishijo H., Eifuku S. Monkey hippocampal neurons related to spatial and nonspatial functions. Journal of Neurophysiology. 70:1993;1516-1529.
18. Paivio A. Mental Representations: A Dual Coding Approach. 1986;Oxford, New York.
19. Rolls E. Consciousness in Neural Networks? Neural Networks. 10:(7):1997;1227-1240.
20. Russell S., Norvig P. Artificial Intelligence. 1995;Prentice-Hall, Englewood Cliffs, NJ.
21. Shallice T., Burgess P., Schon F, Boxter D. The origin of utilization behavior. Brain. 112:1989;1587-1598.
22. Shallice T., Burgess P. Supervisory control of action and thought selection. Baddeley, Weiskrants. Attention Selection and Awareness and Control. 1993;Oxford, New York.
23. Sun R., Alexsandre F. Connectionist-symbolic integration: from unified to hybrid approach. 1997;Lawrence Erlbaum, Hillsdale, NJ.
24. Taylor J.G. Neural network for consciousness. Amari S., Kasabov N. Brain-like Computing and Intelligent Information Systems. 1997;461-489 Springer, Berlin.