* Applications: finances, data mining, neurocontrol, time series analysis, bioinformatics;
* Architectures: cellular NNs, hardware and software implementations, new models, weightless models;
* Cognitive Sciences: adaptive behaviour, natural language, mental processes;
* Computational Intelligence: evolutionary systems, fuzzy systems, hybrid systems;
* Learning: algorithms, evolutionary and fuzzy techniques, reinforcement learning, blind source separation;
* Neurobiological Systems: bio-inspired systems, biologically plausible networks, vision; Neurocontrol: robotics, dynamic systems, adaptive control;
* Neurosymbolic processing: hybrid approaches, logical inference, rule extraction, structured knowledge;
* Pattern Recognition: signal processing, artificial/computational vision;
* Theory: radial basis functions, Bayesian systems, function approximation, computability, learnability, computational complexity.