Introduction to machine learning for brain imaging

Volume: 56, Issue: 2, Pages: 387 - 399
Published: May 1, 2011
Abstract
Machine learning and pattern recognition algorithms have in the past years developed to become a working horse in brain imaging and the computational neurosciences, as they are instrumental for mining vast amounts of neural data of ever increasing measurement precision and detecting minuscule signals from an overwhelming noise floor. They provide the means to decode and characterize task relevant brain states and to distinguish them from...
Paper Details
Title
Introduction to machine learning for brain imaging
Published Date
May 1, 2011
Journal
Volume
56
Issue
2
Pages
387 - 399
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