Oscillatory model of attention-guided object selection and novelty detection

DOI10.1016/j.neunet.2004.03.005zbMath1068.68119OpenAlexW1994521955WikidataQ51991739 ScholiaQ51991739MaRDI QIDQ1886584

Roman M. Borisyuk, Yakov B. Kazanovich

Publication date: 18 November 2004

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2004.03.005

zbMATH Keywords

SynchronizationResonanceSelective attentionNovelty detectionOscillatory neural networks

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

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Cites Work

• Unnamed Item
• Unnamed Item
• Brain function and oscillation. Vol. 1: Brain oscillations, principles and approaches
• Synchronization in a neural network of phase oscillators with the central element
• A biologically motivated and analytically soluble model of collective oscillations in the cortex. II: Application to binding and pattern segmentation
• Signal Processing by Model Neural Networks
• Learning model for coupled neural oscillators
• Synchronization in Oscillator Systems with a Central Element and Phase Shifts