Laboratory for Science and Technologies of Information

Brest, France

Laboratory for Science and Technologies of Information

Brest, France
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Aliabadi B.K.,Laboratory for Science and Technologies of Information | Berrou C.,Laboratory for Science and Technologies of Information | Gripon V.,Laboratory for Science and Technologies of Information | Jiang X.,Laboratory for Science and Technologies of Information
IEEE Transactions on Neural Networks and Learning Systems | Year: 2014

An extension to a recently introduced binary neural network is proposed to allow the storage of sparse messages, in large numbers and with high memory efficiency. This new network is justified both in biological and informational terms. The storage and retrieval rules are detailed and illustrated by various simulation results. © 2012 IEEE.

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