Oscillatory Networks: Pattern Recognition Without a Superposition Catastrophe
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Publication:5473187
DOI10.1162/089976606775093864zbMath1101.68805OpenAlexW2124899827WikidataQ51957399 ScholiaQ51957399MaRDI QIDQ5473187
Publication date: 19 June 2006
Published in: Neural Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1162/089976606775093864
Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)
Related Items (5)
Temporal Coding: Assembly Formation Through Constructive Interference ⋮ An objective function utilizing complex sparsity for efficient segmentation in multi‐layer oscillatory networks ⋮ Oscillatory Neural Networks with Self-Organized Segmentation of Overlapping Patterns ⋮ Oscillatory neural network for pattern recognition: trajectory based classification and supervised learning ⋮ BIFURCATIONS IN A STAR-LIKE NETWORK OF STUART–LANDAU OSCILLATORS
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- Phase Equations for Relaxation Oscillators
- Neurons with graded response have collective computational properties like those of two-state neurons.
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