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