Home/Tag: functional neuroimaging
21 02, 2017

WORKSHOP 6: The impact of classical statistics versus multi-variate pattern analysis (MVPA) on neuroscientific interpretation

By |2017-01-06T11:03:14+00:00February 21st, 2017||Comments Off on WORKSHOP 6: The impact of classical statistics versus multi-variate pattern analysis (MVPA) on neuroscientific interpretation

Prof. Dr. Danilo Bzdok   Neuroimaging datasets are constantly increasing in resolution, sample size, multi-modality, and meta-information complexity. This opens the brain imaging field to a more data-driven machine-learning regime (e.g., classification algorithms, pattern recognition, cross-validation procedures) , while analysis methods from the domain of classical statistics remain dominant (e.g., ANOVA, Pearson correlation, Student's t-test). Special interest lies in the [...]

21 02, 2017

WORKSHOP 6: The impact of classical statistics versus multi-variate pattern analysis (MVPA) on neuroscientific interpretation

By |2017-01-06T11:03:14+00:00February 21st, 2017||Comments Off on WORKSHOP 6: The impact of classical statistics versus multi-variate pattern analysis (MVPA) on neuroscientific interpretation

Prof. Dr. Danilo Bzdok   Neuroimaging datasets are constantly increasing in resolution, sample size, multi-modality, and meta-information complexity. This opens the brain imaging field to a more data-driven machine-learning regime (e.g., classification algorithms, pattern recognition, cross-validation procedures) , while analysis methods from the domain of classical statistics remain dominant (e.g., ANOVA, Pearson correlation, Student's t-test). Special interest lies in the [...]

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