Conference topics

ICANN 2019 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. Deep Learning
– Convolutional Neural Networks
– Deep Learning in Real Time Systems
– Deep Learning and Big Data Analytics
– Deep Learning and Big Data
– Deep Learning and Forensics
– Deep Learning and Cybersecurity
– Deep Learning and Social Networks
12. Evolving Systems – Optimization
13. Learning
– Machine Learning for BioMedical systems
– Machine Learning and Video – Image Processing
– Machine Learning and Forensics
– Machine Learning and Cybersecurity
– Machine Learning and Social Media
– Machine Learning in Engineering
14. Bayesian and Echo State Networks
15. Recurrent Neural Networks and Reservoir Computing
16. Coding Architectures
17. Interacting with The Brain
18. Swarm Intelligence and Decision-Making
19. Multilayer Perceptrons and Kernel Networks
20. Training and Learning
21. Inference and Recognition
22. Support Vector Machines
23. Self-Organizing Maps and Clustering
24. Clustering, Mining and Exploratory Analysis
25. Bioinformatics
26. Time Series and Forecasting

Special session BIGCHEM: Big Data/AI/Machine learning in chemistry
Workshop: Reservoir Computing