18th International Conference on Neural Computation Theory and Applications (NCTA 2026)

The 18th International Conference on Neural Computation Theory and Applications (NCTA 2026) explores neural computation theory and applications, addressing deep learning, neural architectures, learning algorithms, and real-world intelligent systems across science, engineering, and industry.

Key Topics

• Deep learning
• Convolutional neural networks
• Recurrent neural networks
• Reinforcement learning
• Neural approaches and neural architectures
• Learning paradigms and algorithms
• Bio-inspired models and solutions
• Computational neuroscience
• Support vector machines and kernel methods
• Stochastic learning and statistical algorithms
• Adaptive architectures and mechanisms
• Higher level artificial neural network based intelligent systems
• Neural based data mining and complex information processing
• Neural prostheses and medical applications
• Pattern recognition and decision making applications
• Industrial and real-world applications
• Financial applications of neural computation
• Image processing and artificial vision applications
• Stability and instability in artificial neural networks
• Complex artificial neural network based systems and dynamics

Who should attend

• Researchers in neural computation
• Artificial intelligence scientists
• Machine learning engineers
• Computational neuroscience researchers
• Data mining and pattern recognition specialists
• Industrial AI practitioners
• Biomedical and medical AI researchers