Collective Stability of Networks of Winner-Take-All Circuits

DOI10.1162/NECO_a_00091zbMath1208.92015DBLPjournals/neco/RutishauserDS11OpenAlexW3104133773WikidataQ51624406 ScholiaQ51624406MaRDI QIDQ3085332

Ueli Rutishauser, Rodney J. Douglas, Jean-Jacques E. Slotine

Publication date: 31 March 2011

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

Full work available at URL: https://doi.org/10.1162/neco_a_00091

Mathematics Subject Classification ID

Probabilistic models, generic numerical methods in probability and statistics (65C20) Neural biology (92C20) Dynamical systems in biology (37N25) Neural networks for/in biological studies, artificial life and related topics (92B20)

Related Items (4)

Network structure and input integration in competing firing rate models for decision-making ⋮ Collective dynamics and bifurcations in symmetric networks of phase oscillators. II ⋮ Solving Constraint-Satisfaction Problems with Distributed Neocortical-Like Neuronal Networks ⋮ Winner-take-all based on discrete-time dynamic feedback

Cites Work

• Unnamed Item
• Stable concurrent synchronization in dynamic system networks
• Dynamics of pattern formation in lateral-inhibition type neural fields
• On contraction analysis for non-linear systems
• The dynamical stability of reverberatory neural circuits
• Smoothing methods for convex inequalities and linear complementarity problems
• On partial contraction analysis for coupled nonlinear oscillators
• Global exponential stability of generalized recurrent neural networks with discrete and distributed delays
• Absolute stability of global pattern formation and parallel memory storage by competitive neural networks
• State-Dependent Computation Using Coupled Recurrent Networks
• Matrix Analysis
• Modular stability tools for distributed computation and control
• Permitted and Forbidden Sets in Symmetric Threshold-Linear Networks
• Neural networks and physical systems with emergent collective computational abilities.

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