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"
Chris Boswell | The Christian Kuntz Podcast 🔹 EP 25
Мотокуртка Daytona Helstons
How Mossad tracked a Hezbollah commander for years
How to partition SSD Hard disk in windows
#warface
My Take On OpenAI Jukebox Music Tutorial ft. Grimes - You’ll Miss Me When I’m Not Around
Timelapse: Level Building - Bad Asteroid Devlogs
ЧЕЛЛЕНДЖЕР ДИАНА МЕЙН / ЛИГА ЛИГЕНД НА РУСКОМ
(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)