IJCNN is the premier international conference in the area of neural networks theory, analysis and applications. Topics of interest include but are not restricted to:

* Connectionist methods in cognitive science and cognitive modeling (language, reasoning,perception, learning, consciousness,emotion, etc.)
* Computational neuroscience
* Neuro-technologies and neuro-engineering,brain-machine interfaces
* Cognitive robotics, developmental robotics and neural robotics
* Data mining and pattern recognition
* Signal processing and time series analysis
* Image processing and machine vision
* Neurocontrol
* Neuroinformatics and bioinformatics
* Hybrid neural-symbolic, neuro-fuzzy,neuro-evolutionary systems, neuro-swarm, neural dynamic logic and other methods
* Connectionist methods of emergent intelligence
* Bayesian models and statistical machine learning methods
* Support vector machines and Kernel methods
* Learning methods: supervised, unsupervised and reinforcement
* Adaptive dynamic programming and neurodynamic optimization
* Neural dynamics, complex systems, and chaos
* Hardware implementations of neural networks, neuromorphic engineering
* Intelligent tools and methods (expert systems, embedded systems, data mining, multi-agent systems)
* Real world applications of neural networks (games, finance, social systems, biomedical, power systems, telecommunication,defense, manufacturing)