|typesummer course, 2 EC|
|opleidingsduur5 dagen voltijd|
Do you have large-scale neuroscience datasets and lots of ideas, but need a better understanding of how to work with your data? Then this course is for you! You will learn key concepts in multichannel neuroscience analyses, including dimension-reduction, source separation, and least-squares modeling, and how to implement them in Matlab
|taal van onderwijs||100% en|
objectivesAfter this course you are able to:
- Understand the key concepts in linear algebra including matrix multiplication, inverse, and projections, as well as know geometric and algebraic ways of representing data and analyses.
- Implement the least-squares algorithm to estimate general linear model parameters.
- Understand eigendecomposition and its use in dimensionality reduction and source separation.
- Simulate multivariate data to evaluate analysis methods and model overfitting.
study loadPre-course assignments/reading: 5 hours
Class attendance: 40 hours
Self-study: 5 hours
Assignment(s): 5 hours
Presentation(s): 1 hour
Lab work: 5 hours
Total: 56 hours
Toelating en kosten
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