Workshops
Anatomy Workshop with Dr. Palomero-Gallagher, Prof. Dr. Dr. Caspers and Prof. Zilles
SPIEGELSAAL RWTH Uniklinik, AachenLecture (Prof. Zilles) 09.30-10.15 Macroscopical and topographical anatomy of the human brain demonstrated on anatomical and MR images Coffee break 10.15-10.30 Hand-Out and exercises in 3 groups 10.30-12.00 Plastinated preparations of entire brains and of coronal, horizontal and sagittal sections; assignment to functional systems. Lunch break 12.00 – 13.00 Lecture (Dr. Palomero-Gallagher) 13.00-13.45 Cingulate Cortex: Anatomy and function Coffee [...]
Anatomy Workshop with Dr. Palomero-Gallagher, Prof. Dr. Dr. Caspers and Prof. Zilles
SPIEGELSAAL RWTH Uniklinik, AachenLecture (Prof. Zilles) 09.30-10.15 Macroscopical and topographical anatomy of the human brain demonstrated on anatomical and MR images Coffee break 10.15-10.30 Hand-Out and exercises in 3 groups 10.30-12.00 Plastinated preparations of entire brains and of coronal, horizontal and sagittal sections; assignment to functional systems. Lunch break 12.00 – 13.00 Lecture (Dr. Palomero-Gallagher) 13.00-13.45 Cingulate Cortex: Anatomy and function Coffee [...]
WORKSHOP 6: The impact of classical statistics versus multi-variate pattern analysis (MVPA) on neuroscientific interpretation
IRTG Room (Flur 10)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 [...]
WORKSHOP 6: The impact of classical statistics versus multi-variate pattern analysis (MVPA) on neuroscientific interpretation
IRTG Room (Flur 10)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 [...]
WORKSHOP 7: Scientific presentations
by IRTG staff (HanGue, Mikhail, Barbara, Olga, Lisa, Sina) PART 1: 9:30-12:30, SEMINAR ROOM PART 2: 13:30-17:00 (different rooms, according to group assignment)