The symposium will feature plenary lectures given by worldwide renowned speakers, and some special sessions focused on some popular topics. Major topics to be addressed at ISNN 2009 include, but are not limited to the following areas:

1. Theories
Computational neuroscience
Connectionist theory
Cognitive science
Mathematical modeling of neural systems
Neurodynamic analysis
Neurodynamic optimization
Adaptive dynamic programming
Neuroinformatics
Bioinformatics
Self-organization and goal-oriented learning
Embodied intelligence

2. Models
Embedded neural systems
Forward neural networks
Recurrent neural networks
Gene regulatory network
Consensus in neural networks
Competitive networks
Coupled network model
Hybrid intelligent systems
Hardware implementation
Evolving neural networks
Complex neural models
Neural networks models in economics and marketing
Neural models in finance
Fuzzy neural networks
Hierarchical memory organizations
Incremental learning models
Swarm intelligence and optimization
Bio-inspired intelligent models
Associative memory models
Adaptive sensory-motor coordination
Cellular neural network models
Self-organizing map models

3. Algorithms
Probabilistic methods
information-theoretic methods
Supervised and unsupervised learning
Semi-supervised learning
Reinforcement learning
Support vector machines
Kernel methods
Principal component analysis
Independent component analysis
Boosting and adaptive boost algorithms
Multi-resolution algorithms
Assembly learning algorithms
Autonomous mental development
Hybrid optimization algorithms
Evolutionary computation algorithms
Fuzzy modeling and fuzzy systems
Statistical learning methods

4. Applications
Brain imaging
Medical imaging processing
Data mining and knowledge discovery
Pattern recognition
Machine learning and learning control systems
Time series analysis
Financial data prediction
Image and signal processing
Intelligent control system
Expert system
Computer Vision
Robotics
Games
Telecommunications
Transportation systems
Intrusion detection
Information security
Fault diagnosis
Real-world applications
Multi-agent learning systems
Planning and scheduling
Decision-making support systems
Computational intelligence for power systems
Sensor networks
Multimedia systems
Biomedical data analysis
Human-robot interaction
Intelligent navigation systems
Speech and language processing
Sequence learning and sequential behaviors
Computational intelligence for text mining
Computational intelligence for Web mining