Simulation of chaotic EEG patterns with a dynamic model of the olfactory system
Biological Cybernetics
Parallel in sequence—towards the architecture of an elementary cortical processor
Proc. of an international workshop on Parallel algorithms and architectures
Convergent activation dynamics in continuous time networks
Neural Networks
Certain aspects of the anatomy and physiology of the cerebral cortex
Parallel distributed processing
A Situated Information Articulation Neural Network: VSF Network
PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
Self-organised dynamic recognition states for chaotic neural networks
Information Sciences—Informatics and Computer Science: An International Journal - Special issue on recent advances in soft computing
MICRONEURO '99 Proceedings of the 7th International Conference on Microelectronics for Neural, Fuzzy and Bio-Inspired Systems
A Neural Model for Context-dependent Sequence Learning
Neural Processing Letters
Neural Networks - 2005 Special issue: IJCNN 2005
Chaotic dynamics for multi-value content addressable memory
Neurocomputing
Chaotic pattern transitions in pulse neural networks
Neural Networks
The Immune Network System with Chaotic Behavior
Informatica
Large memory capacity in chaotic artificial neural networks: a view of the anti-integrable limit
IEEE Transactions on Neural Networks
An asynchronous spiking chaotic neuron integrated circuit
Neurocomputing
A neural support vector machine
Neural Networks
Self-sustained irregular activity in 2-D small-world networks of excitatory and inhibitory neurons
IEEE Transactions on Neural Networks
A mathematical model for Cantor coding in the hippocampus
Neural Networks
Rewiring-induced chaos in pulse-coupled neural networks
Neural Computation
Chaotic Dynamics in Iterated Map Neural Networks with Piecewise Linear Activation Function
Fundamenta Informaticae
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We present a model for a dynamic link of memory in terms of a self-organized chaotic transition in nonequilibrium neural networks. The chaotic transition blocks pinning on parasitic(false) memory and allows a successive retrieval of true memory. We introduced a new neurodynamics, which allows neural networks to be temporarily unstable, keeping stability due to convergent dynamics. The results obtained in this paper suggest that the cortical chaos may serve for dynamically linking true memory as well as a memory search.