Pattern analysis in neuroimaging: Beyond two-class categorization
نویسندگان
چکیده
منابع مشابه
Pattern analysis in neuroimaging: Beyond two-class categorization
One of the many advantages of multivariate pattern recognition approaches over conventional mass-univariate group analysis using voxel-wise statistical tests is their potential to provide highly sensitive and specific markers of diseases on an individual basis. However, a vast majority of imaging problems addressed by pattern recognition are viewed from the perspective of a two-class classifica...
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15 صفحه اولWorkshop: Pattern Recognition in Neuroimaging
Theoretical Background Prof. Dr. John-Dylan Haynes Bernstein Center for Computational Neuroscience, Charité 09.00 – 09.40 MVPA: Principles, pitfalls and perspectives Multivariate pattern classification has emerged as a useful tool in cognitive neuroimaging that allows to study content-based processing. This lecture will first give an overview of the basic principles, including the nature of pat...
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Nobel prize winner Eric Kandel wrote: ”The task of neural science is to explain behavior in terms of the activities of the brain.”1 Unfortunately, the currently prevalent data analysis strategies do not aim at exploring behavior in terms of neural activity per se. Instead, the majority of methods primarily explore the data by performing mass-univariate hypothesis tests, searching for statistica...
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ژورنال
عنوان ژورنال: International Journal of Imaging Systems and Technology
سال: 2011
ISSN: 0899-9457
DOI: 10.1002/ima.20280