ICANN 2021 is a dual-track conference featuring tracks in Brain Inspired Computing and Machine Learning and Artificial Neural Networks, with strong cross-disciplinary interactions and applications. All research fields dealing with Neural Networks will be present at the conference. A non-exhaustive list of topics includes the following.
Machine Learning
- Deep Learning
- Neural Network Theory
- Neural Network Models
- Graphical Models
- Bayesian Networks
- Kernel Methods
- Generative Models
- Information Theoretic Learning
- Reinforcement Learning
- Relational Learning
- Dynamical Models
- Recurrent Networks
Brain Inspired Computing
- Cognitive models
- Computational Neuroscience
- Self-organisation
- Reinforcement Learning
- Neural Control and Planning
- Hybrid Neural-Symbolic Architectures
- Neural Dynamics
- Cognitive Neuroscience
- Brain Informatics
- Connectomics
- Neural models of perception and action
Neural Applications for
- Bioinformatics
- Biomedicine
- Intelligent Robotics
- Neurorobotics
- Language Processing
- Image Processing
- Sensor Fusion
- Pattern Recognition
- Data Mining
- Neural Agents
- Brain-Computer Interaction
- Neural Hardware
- Evolutionary Neural Networks