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活动简介

International Workshop on Machine Learning for Understanding the Brain (MLUB) welcomes original and unpublished work on theory, systems, algorithms and applications related to Machine Learning and understanding techniques for modeling and analysis of brain in various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.

征稿信息

征稿范围

  • 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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重要日期
  • 会议日期

    05月15日

    2017

    05月18日

    2017

  • 05月18日 2017

    注册截止日期

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