Chaos, multiplicity, crisis, and synchronicity in higher-order neural networks
Author:
Publisher
American Physical Society (APS)
Subject
Atomic and Molecular Physics, and Optics
Link
http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevA.44.R2259/fulltext
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1. Chaotic itinerancy in the oscillator neural network without Lyapunov functions;Chaos: An Interdisciplinary Journal of Nonlinear Science;2004-09
2. Multi-associative neural networks and their applications to learning and retrieving complex spatio-temporal sequences;IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics);1999
3. Effects of noise in training patterns on the memory capacity of the fully connected binary Hopfield neural network: mean-field theory and simulations;IEEE Transactions on Neural Networks;1998-07
4. Learning and retrieving spatio-temporal sequences with any static associative neural network;IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing;1998-06
5. Oscillatory and chaotic dynamics in neural networks under varying operating conditions;IEEE Transactions on Neural Networks;1996-11
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