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Скачать с ютуб Mikołaj Buchwald Analyzing functional magnetic resonance(fMRI) data with machine learning algorithms в хорошем качестве

Mikołaj Buchwald Analyzing functional magnetic resonance(fMRI) data with machine learning algorithms 5 лет назад


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Mikołaj Buchwald Analyzing functional magnetic resonance(fMRI) data with machine learning algorithms

Recent developments in analyzing functional magnetic resonance imaging (fMRI, neuroimaging) data with machine learning algorithms will be presented. This approach is commonly known as multivoxel pattern analysis (MVPA), since information from multiple (or all) locations in the brain (so called voxels) are taken into consideration here in a single model. Well-known Python packages such as scikit-learn or stats are perfectly suited for performing MVPA, not to mention more specialized solutions (nibabel, nilearn, nipy, PyMVPA) that greatly improves the functionality of Python as a daily-basics tool for analyzing neuroimaging data.

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