Journal
IEEE TRANSACTIONS ON NEURAL NETWORKS
Volume 22, Issue 1, Pages 84-95Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TNN.2010.2086476
Keywords
Kuramoto oscillators; oscillator network; pattern recognition; phase oscillators; quasi-synchronization
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The idea that synchronized oscillations are important in cognitive tasks is receiving significant attention. In this view, single neurons are no longer elementary computational units. Rather, coherent oscillating groups of neurons are seen as nodes of networks performing cognitive tasks. From this assumption, we develop a model of stimulus-pattern learning and recognition. The three most salient features of our model are: 1) a new definition of synchronization; 2) demonstrated robustness in the presence of noise; and 3) pattern learning.
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