Phase Oscillatory Network and Visual Pattern Recognition.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 25137734.
- Also identified by DOI 10.1109/TNNLS.2014.2345572.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
We explore a properly interconnected set of Kuramoto type oscillators that results in a new associative-memory network configuration, which includes second- and third-order additional terms in the Fourier expansion of the network's coupling. Investigation of the response of the network to different external stimuli indicates an increase in the network capability for coding and information retrieval. Comparison of the network output with that of an equivalent experiment with subjects, for recognizing perturbed binary patterns, shows comparable results between the two approaches. We also discuss the enhanced storage capacity of the network.
Medical subject headings
- Electronic Data Processing
- Neural Networks, Computer
- Pattern Recognition, Automated