functional neuroimaging

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 [...]

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 [...]