ICANN 2012

Partners

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

LNCS
Lecture Notes in Computer Science
Springer Verlag
Springer Verlag
Elsevier
Elsevier

Documents

Annoucements:
Scientific Program
Announcement
Conference iCal

Authors:
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.

Venue

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