IJCNN 2025 will feature pre-conference tutorials, covering fundamental and advanced topics in AI and neural networks.

• AI for Critical Infrastructures
• AI for Education
• AI for Neural Engineering
• Brain-machine Interfaces
• Cognitive Models
• Collective & Ensemble Intelligence
• Computational Neuroscience
• Dynamic Neural Networks
• Efficient and Tiny Neural Networks
• Ethics and Regulation in AI
• Generative AI Models
• Graph Neural Networks
• Interpretable and Explainable AI
• Large Language Models
• Large-Scale Neural Networks
• Mixture of Experts

• Modular Neural Networks
• Neural Engineering
• Neural Network Applications
• Neural Networks for Sciences
• Neuromorphic Systems
• Neurosymbolic AI
• Perceptual Neural Networks
• Quantum Neural Networks
• Reinforcement Learning
• Representation & Reasoning
• Reservoir & Echo-State Networks
• Spiking Neural Networks
• Theory of Neural Networks
• Transformer Networks
• Trustworthy and Reliable AI
• Unsupervised Learning