Mathematical theory of neural learning
New Generation Computing - Selected papers from the international workshop on algorithmic learning theory,1990
Neural Network Models: An Analysis
Neural Network Models: An Analysis
Neural Field Model for Perceptual Learning
ICCI '04 Proceedings of the Third IEEE International Conference on Cognitive Informatics
Stability of asymmetric Hopfield networks
IEEE Transactions on Neural Networks
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In this letter, delayed integrodifferential equations modeling neural field (DIEMNF) is studied. The model of DIEMNF is first established as a modified neural field model. Second, it has been proved that if the interconnection of neural field is symmetric, then every trajectory of the system converges to an equilibrium. The boundedness condition for integrodifferential equations modeling neural field with delay is obtained. Moreover, when the interconnection is asymmetric, we give a sufficient condition that can guarantee that the equilibrium of the DIEMNF is unique and is also a global attractor.