ICANN 2012


Université de Lausanne
Université de Lausanne
European Neural Network Society
European Neural Network Society

Lecture Notes in Computer Science
Springer Verlag
Springer Verlag


Scientific Program
Conference iCal
LNCS Instructions
LaTeX 2e Instructions
LaTeX 2e Class
Word 2007 Template

Dedicated to our Honorary President and Emeritus Colleague John G. Taylor

Aims and scope

The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). In 2012 the University of Lausanne will organize the 22nd ICANN Conference.

ICANN 2012 will have two tracks with PC chairs from both Brain-inspired computing and Machine learning research areas.

Click on the ICANN 2012 Scientific Program to download it.


Lausanne is a Swiss city located on the shore of the Lake of Geneva, 60 km from the international airport of Geneva. Fast and frequent train connections exist between the airport and Lausanne. The airport of Geneva is a major hub of low cost airlines and is connected by direct flights to most important cities in Europe and several cities in North America, Asia and North Africa.

The venue of the conference is the building Internef of the UNIL Campus Dorigny, in front of the stop "UNIL-Dorigny" of the public metro line 1.

Conference topics

ICANN 2012 will feature two main tracks: Brain inspired computing and Machine learning research, with strong cross-disciplinary interactions and applications. All research fields dealing with Neural Networks will be present at the Conference with emphasis on "Neural Coding", "Decision Making" and "Unsupervised Learning".

Scheduled Sessions are:     1. Theoretical Neural Computation     2. Information and Optimization     3. From Neurons to Neuromorphism     4. Spiking Dynamics     5. From Single Neurons to Networks     6. Complex Firing Patterns     7. Movement and Motion     8. From Sensation to Perception     9. Object and Face Recognition     10. Reinforcement Learning     11. Bayesian and Echo State Networks     12. Recurrent Neural Networks and Reservoir Computing     13. Coding Architectures     14. Interacting with The Brain     15. Swarm Intelligence and Decision-Making     16. Multilayer Perceptrons and Kernel Networks     17. Training and Learning     18. Inference and Recognition     19. Support Vector Machines     20. Self-Organizing Maps and Clustering     21. Clustering, Mining and Exploratory Analysis     22. Bioinformatics     23. Time Series and Forecasting