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An Adaptable Boolean Neural Network Performing Specific Sequence Learning
Como, Italy July 24-July 27
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.861301IEEE-INNS-ENNS International Joint Co ...
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F.E. Lauria, University of Naples
R. Prevete, University of Naples
M. Milo, University of Naples
Sequence learning has a variety of different approaches. We can distinguish two fundamental approaches: general-regularity learning and specific sequence learning. Although some studies suggest that it is possible for a single subsystem underlying both general-regularity and specific-sequence learning, it is proved that relatively independent subsystems may execute the two types of learning more efficiently than a single subsystem. In this paper, we propose to implement specific sequence learning in a neural network with no memory and with an implicit representation of time.
Index Terms:
Sequence learning, Neural Network, Hebbian learning
Citation:
F.E. Lauria, R. Prevete, M. Milo, "An Adaptable Boolean Neural Network Performing Specific Sequence Learning," ijcnn, vol. 3, pp.3181, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 3, 2000
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