This article introduces a neural network capable of learning a temporal sequence. Directly inspired from a hippocampus model [2], this architecture allows an autonomous robot to learn how to imitate a sequence of movements with the correct timing. The results show that the network model is fast, accurate and robust. © Springer-Verlag Berlin Heidelberg 2003.
CITATION STYLE
Moga, S., Gaussier, P., & Banquet, J. P. (2003). Sequence learning using the neural coding. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2686, 198–205. https://doi.org/10.1007/3-540-44868-3_26
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