Dynamics in Complex Neural Networks

Dear Colleagues,

Complex neural network systems are essential tools investigated and applied by academic researchers and industry. Recent advances in computer sciences, robotics, and mathematics have introduced new technologies and expanded the opportunities for neural network applications. Knowledge and understanding of these technologies have led to the development of new models, novel methods, and extending the existing techniques for analysis of the neural network dynamics.

Original research articles that will contribute to the development of the theory of complex neural network systems are invited. The focus will be on models as well as methods that explore aspects of dynamics in complex neural networks. Experimental and applied research results are also welcomed. Potential topics of the Special Issue include but are not limited to:

• Stability theory and strategies;
• Control theory;
• Extended stability strategies;
• Delayed neural networks;
• Impulsive neural networks;
• Fractional-order neural networks;
• Cohen–Grossberg neural networks;
• Reaction–diffusion neural networks;
• Biological neural network models;
• Bifurcation strategies;
• Entropy in complex neural networks;
• Asymptotic behavior;
• Applications in science and engineering.

Dr. Ivanka Stamova
Dr. Gani Stamov
Guest Editors

Manuscript Submission Information

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