2016年国际神经影像机器学习的研讨会



2016年国际神经影像机器学习的研讨会

International Workshop on Machine Learning Approaches in Neuroimaging (IWMLAN)

International Workshop on Machine Learning for Understanding the Brain (MLUB) welcomes original and unpublished work on theory, systems, algorithms and applications related to Machine Learning and understanding techniques for modeling and analysis of brain in various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

The workshop focuses on but is not limited to the following 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

Website：http://mlub.ceng.metu.edu.tr/