Clone-Based Encoded Neural Networks to Design Efficient Associative Memories.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 30703044.
- Also identified by DOI 10.1109/TNNLS.2018.2890658.
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Abstract
In this paper, we introduce a neural network (NN) model named clone-based neural network (CbNN) to design associative memories. Neurons in CbNN can be cloned statically or dynamically which allows to increase the number of data that can be stored and retrieved. Thanks to their plasticity, CbNN can handle correlated information more robustly than existing models and thus provides better memory capacity. We experiment this model in encoded neural networks also known as Gripon-Berrou NNs. Numerical simulations demonstrate that memory and recall abilities of CbNN outperform state of the art for the same memory footprint.
Medical subject headings
- Association Learning
- Memory
- Neural Networks, Computer