Original Contribution: Associative memory with nonmonotone dynamics

Authors:
Masahiko Morita
Affiliations:
-
Venue:
Neural Networks
Year:
1993

Citing 3
Cited 46

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Exponential Periodicity of Continuous-time and Discrete-Time Neural Networks with Delays

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On Robust Exponential Periodicity of Interval Neural Networks with Delays

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Global stability analysis of a class of delayed cellular neural networks

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2005 Special issue: Recursive principal components analysis

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Exponential stability preservation in discrete-time analogues of artificial neural networks with distributed delays

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An estimation of the domain of attraction for recurrent neural networks with time-varying delays

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Global exponential periodicity of three-unit neural networks in a ring with time-varying delays

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A Generalised Entropy Based Associative Model

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Symbolic Memory of Motion Patterns by an Associative Memory Dynamics with Self-organizing Nonmonotonicity

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Criteria for Exponential Stability of Cohen-Grossberg Neural Networks with Multiple Time-Varying Delays

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A new approach for estimating the attraction domain for hopfield-type neural networks

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On the complexity of hierarchical associative memories

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ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks
High-order associative memories for pattern recognition

ICS'08 Proceedings of the 12th WSEAS international conference on Systems
Invariant pattern recognition using analog recurrent associative memories

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Global Asymptotic Stability of Cohen-Grossberg Neural Networks with Multiple Discrete Delays

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Letters: Exponential stability of a class of generalized neural networks with time-varying delays

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Large-scale pattern storage and retrieval using generalized brain-state-in-a-box neural networks

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Pattern recall analysis of the Hopfield neural network with a genetic algorithm

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A novel approach to exponential stability of nonlinear systems with time-varying delays

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Global exponential stability in Lagrange sense for neutral type recurrent neural networks

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Stochastic stability analysis of delayed hopfield neural networks with impulse effects

ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part I
The associative recall of spatial correlated patterns

CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications
Exponential stability analysis of neural networks with multiple time delays

ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I
Global exponential stability of reaction-diffusion hopfield neural networks with distributed delays

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Multistability analysis for a general class of delayed Cohen-Grossberg neural networks

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New results for global exponential stability of delayed cohen-grossberg neural networks

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Dynamics of general neural networks with distributed delays

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Multistability and multiperiodicity of high-order competitive neural networks with a general class of activation functions

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Entropy based associative model

ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I
Delay for the capacity-simplicity dilemma in associative memory attractor networks

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Dynamical stability analysis of multiple equilibrium points in time-varying delayed recurrent neural networks with discontinuous activation functions

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Markovian perturbations of discrete iterations: Lyapunov functions, global minimization, and associative memory

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Stability analysis of multiple equilibria for recurrent neural networks

ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part I
Multistability and instability of delayed competitive neural networks with nondecreasing piecewise linear activation functions

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An associative memory based on the immune networks: perspectives on internal image with antibody dynamics

BICS'13 Proceedings of the 6th international conference on Advances in Brain Inspired Cognitive Systems
New criteria on delay-dependent stability for discrete-time neural networks with time-varying delays

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Non-typical multistability in neural networks with distributed delays

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Abstract

The dynamics of autocorrelation associative memory is examined, and a novel neural dynamics which greatly enhances the ability of associative neural networks is presented. This dynamics is such that the output of some particular neurons is reversed (for a discrete model) or the output function is not sigmoid but nonmonotonic (for an analog model). It is also shown by numerical experiments that most of the problems of the conventional model are overcome by the improved dynamics. These results are important not only for practical purposes but also for understanding dynamical properties of associative neural networks.