Information about lectures and workshops
Day 1 | 24 September
“Computational models in cognitive neuroscience”. Workshop.
Benjamín Garzón, Institute of Education, University of Zurich
The aim of the workshop is to introduce participants to computational techniques for modelling and analysing data for cognitive neuroscience research. With guided code examples, participants will gain experience in preparing the data, estimating two commonly used models with Bayesian methods, and interpreting the results. Prior experience with R and statistics is strongly recommended.
Day 2 | 25 September
“Fundamentals of network theory”. Lecture.
William Hedley Thompson, Department of Applied IT, University of Gothenburg
William Hedley Thompson (Göteborgs Universitet) will present the fundamentals of network theory for understanding brain connectivity. The session will cover core concepts, their interpretation, and how to start performing analyses in a number of programming languages (R, Python, or Graphical User Interfaces). It is suitable for beginners, although some familiarity with one neuroimaging modality will be beneficial.
“fMRI-lab in SPM: preprocessing pipelines and statistical analysis of fMRI data (I-II)”. Workshop.
Micael Andersson, Department of Medical and Translational Biology, Umeå University
Level: beginner. Matlab and SPM12 installation required.
During the workshop, data of one single subject performing a task in MR-scanner will be processed and analysed. It will contain the following moments: SliceTiming and movement correction, segmentation, normalisation to MNI-space and regression analyses. The participants are supposed to have matlab installed on their computers and downloaded SPM-toolbox. No previous experience about SPM-analyses is required. A superficial knowledge about fMRI is enough.
“Introduction to functional near-infrared spectroscopy (fNIRS)”. Lecture.
Alexander Kvist, Department of Neurobiology, Care Sciences and Society, Karolinska Institute
Alexander Kvist (Karolinska Institute) will give an introduction to the principles and applications of functional near infrared spectroscopy (fNIRS) as a non-invasive, portable, and versatile technique to measure brain activity.
Day 3 | 26 September
“fNIRS preprocessing and analysis hands-on workshop”. Workshop.
Alexander Kvist, Department of Neurobiology, Care Sciences and Society, Karolinska Institute
Alexander Kvist will lead a hands-on tutorial on fNIRS preprocessing and data analysis. The workshop will cover quality checks, preprocessing steps, and data analysis methods. Bring your own data or use the supplied open datasets. Pipelines in three of the most popular toolboxes (NIRS Brain AnalyzIR, MNE-NIRS or Homer3) will be covered depending on interest.
“The Brain Imaging Data Structure (BIDS) and conversion to BIDS using ezBIDS”. Workshop.
Martin Nørgaard, Department of Computer Science, University of Copenhagen
Martin Nørgaard will lead a workshop to provide and intro to the Brain Imaging Data Structure (BIDS) and how imaging data can be converted to BIDS using tools like ezBIDS.
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Contact information Information related to the scientific program: Questions about the registration:
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Important dates 26 May | Registration opens (Early bird) |
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