Spring/Fall term 2022
Welcome!
Diversity, Equity and Inclusion
Course overview & procedure
General outline
Setup for the course
Introduction
Introduction I - General introduction
Introduction II - Neuroscience
Cortical maps
Magnetic Resonance Imaging (MRI)
Using Python for neuroimaging data - NiBabel
Morphometric analyzes
Diffusion MRI
Structural connectivity and diffusion imaging
Functional MRI
Using Python for neuroimaging data - Nilearn
Statistical maps
Nilearn GLM: statistical analyses of MRI in Python
Functional connectivity
Functional connectivity and resting state
Electroencephalography
MNE python for EEG analysis
EEG preprocessing with MNE
Evoked potentials/ERPs with MNE
MNE Workflow tutorial
Introduction III - NeuroDataScience
Replicability crisis, open science & pre-registration
Project & data management
Introduction to
pybids
Version control
Introduction to git and github
Finding & organizing literature
Connecting the dots
Introduction IV - Linear Algebra
Linear Algebra
Introduction V - Artificial Intelligence
Models, AI and all other buzz words
Supervised or unsupervised & model types
Model evaluation & cross-validation
Deep learning basics
Build and train your neural network
Student projects
Yoga and/or dance break
Questionnaire templates
Code of Conduct
.md
.pdf
repository
open issue
suggest edit
Contents
Objectives📍
optional/reading/further materials
Connecting the dots
Contents
Objectives📍
optional/reading/further materials
Connecting the dots
¶
Objectives📍
¶
optional/reading/further materials
¶
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Finding & organizing literature
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Introduction IV - Linear Algebra
