These videos belong to the "Neuroimaging Lecture" at the Berlin School of Mind and Brain (Humboldt University of Berlin) in the Summer Semester 2023 in which I gave two sessions on fMRI data analysis. Appendix 1: "Addendum to Preprocessing"
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Brown Munde 🔥🔥 By Rider FF II Best EDITED Montage II Inspired by @JONNY Gaming II🔥🔥
Stardew Valley Easter Eggs, Secrets and Rare Events
COMO CREAR UN NUEVO EJERCICIO EN PLACAR CB
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[4K 60fps] Wayside - Theme Song (Remastered HD - Widescreen)
DEER HUNTING Public land in Missouri - (Our Gear got STOLEN!! 😡)
These Stories Matter | Changing the Conversation with Jacob | Pilot Episode
VLOG of our NEW HOUSE 🏡 TV FRAME! 😱 NEW ARRIVALS AT ZARA HOME and MAISONS DU MONDE 😍 Samsung The ...
(15) Fragestunde
(11) Zweifaktorielle Varianzanalyse
(10) Einfaktorielle Varianzanalyse
(9) T-Tests (Teil 2)
(9) T-Tests (Teil 1)
Statistical Analysis of fMRI Data: The General Linear Model (Neuroimaging Lecture, SS 2024)
(8) F-Statistiken
(7) T-Statistiken
(6) Parameterschätzung
(5) Modellformulierung
(4) Normalverteilungen
(3) Matrizen (Teil 2)
(3) Matrizen (Teil 1)
(2) Korrelation
(1) Regression
(0) Formalia
Soch (2020): "Distributional Transformation improves Decoding Accuracy predicting Chronological Age"
Soch et al. (2020): "Inverse transformed encoding models – a method for trial-wise fMRI decoding"
Appendix 2: "Addendum to Statistical Analysis" (Neuroimaging Lecture, SS 2023)
Lecture 2: "Statistical Analysis of fMRI Data" (Neuroimaging Lecture, SS 2023)
Appendix 1: "Addendum to Preprocessing" (Neuroimaging Lecture, SS 2023)
Lecture 1: "Preprocessing of fMRI Data" (Neuroimaging Lecture, SS 2023)
Session 14: "Stimulus presentation" (Basic Python, WS 22/23)
Session 13: "Image processing" (Basic Python, WS 22/23)