WEAKLY CONNECTED OSCILLATORY NETWORK MODELS FOR ASSOCIATIVE AND DYNAMIC MEMORIES

DOI10.1142/S0218127407020014zbMath1144.92006OpenAlexW2100389341MaRDI QIDQ3520723

Marco Gilli, Fernando Corinto, Michele Bonnin

Publication date: 26 August 2008

Published in: International Journal of Bifurcation and Chaos (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0218127407020014

zbMATH Keywords

pattern recognitionphase synchronizationassociative memoriesdynamic memoriesnonlinear oscillatory networks

Mathematics Subject Classification ID

Neural biology (92C20) Dynamical systems in biology (37N25) Circuits, networks (94C99) Nonlinear oscillations and coupled oscillators for ordinary differential equations (34C15)

Related Items (6)

Mathematical frameworks for oscillatory network dynamics in neuroscience ⋮ Predicting chaos in memristive oscillator via harmonic balance method ⋮ Emerging dynamics in neuronal networks of diffusively coupled hard oscillators ⋮ Ultracontractive Properties for Directed Graph Semigroups with Applications to Coupled Oscillators ⋮ Stability of infinite systems of coupled oscillators via random walks on weighted graphs ⋮ Recognition of noisy images by PLL networks

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• STAR CELLULAR NEURAL NETWORKS FOR ASSOCIATIVE AND DYNAMIC MEMORIES
• Neural networks and physical systems with emergent collective computational abilities.
• ON GLOBAL DYNAMIC BEHAVIOR OF WEAKLY CONNECTED OSCILLATORY NETWORKS

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