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Introduction

International Workshop on Machine Learning for Understanding the Brain (MLUB) welcomes original and unpublished work on theory, systems, algorithms and applications related to Machine Learning and understanding techniques for modeling and analysis of brain in various modalities, such as, fMRI, sMRI, EEG, MEG, fNIRS, and various forms of microscopy.

Call for paper

Submission Topics

  • Learning and inference on neuroimaging data

  • Cognitive state classification

  • Functional Connectivity

  • Sparse Techniques

  • Multimodal Learning

  • Multi-Subject Learning

  • Efficient Algorithms for Large-Scale Data

  • Brain Network Embedding

  • Cognitive Computing

  • Software Simulation of the Brain

  • Pattern and Object Recognition

  • Cognitive Machine Learning

  • Modeling

  • Vision Models of the Brain

  • Memory Model of the Brain

  • Neural Models of the Brain

  • Visualization

  • High-Dimensional Neuroimaging Data Visualization

  • Brain Network Visualization

  • Network Summarization

  • Applications

  • Resting-State Data Analysis

  • Task-Based Data Analysis

  • Diagnosis of Diseases

  • Brain Computer Interface

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Important Date

  • Conference Date

    May 15

    2017

    to

    May 18

    2017

  • May 18 2017

    Registration deadline

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