Abstract
A recurrent neural network model with including time delayed effect is investigated by means of theoretical consideration and computer experiments as well. The detailed contents were already published in Neural Computing and Applications, 11 (3 and 4), pp. 137–143 (2003) by Suemitsu, Y., & Nara, S., and this report was written only for an oral presentation of this work in ICCN2019.
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References
Skarda, C. A., & Freeman, W. J. (1987). Behavioral and Brain Sciences, 10, 161–195.
Tsuda, I., Koerner, E., & Shimizu, H. (1987). Progress Theoretical Physics, 78, 51–71.
Aihara, K., Takabe, T., & Toyoda, M. (1990). Physics Letters A, 114(6/7), 333–340.
Nara, S., & Davis, P. (1992). Progress of Theoretical Physics, 88, 845–855.
Suemitsu, Y., & Nara, S. (2003). A note on time delayed effect in a recurrent neural network model. Neural Computing and Applications, 11(3 and 4), 137–143.
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Nara, S. (2021). Time Delayed Effect Can Bring Novel Hierarchical Complex Dynamics to Neural Network?. In: Lintas, A., Enrico, P., Pan, X., Wang, R., Villa, A. (eds) Advances in Cognitive Neurodynamics (VII). ICCN2019 2019. Advances in Cognitive Neurodynamics. Springer, Singapore. https://doi.org/10.1007/978-981-16-0317-4_11
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DOI: https://doi.org/10.1007/978-981-16-0317-4_11
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