Computer Sciences
Analyzing Neural Time Series Data
When:
11 July - 15 July 2022
School:
Institution:
Radboud University
City:
Country:
Language:
English
Credits:
2 EC
Fee:
550 EUR
About
Do you want to learn more about neural time series analysis but are missing a formal background in mathematics? Then this course is for you! You will learn the foundational concepts underlying spectral and synchronization analyses, and how to implement them in MATLAB.
Course leader
Dr. Michael X Cohen Associate professor Donders Institute for Brain, Cognition and Behaviour Radboud University Medical Center
Target group
• PhD
• Post-doc
• Professional
PhD students, postdocs, and senior researchers who have experience with data analysis and want a deeper understanding of advanced data analysis methods. Some experience with Matlab is necessary. Master's students are welcomed if they have had some experience with neuroscience data analysis. The course focuses heavily on analog electrophysiology signals (LFP/EEG/MEG).
Course aim
After this course you are able to:
• Understand the mechanics of the Fourier transform and how to implement it in Matlab.
• Use complex wavelet convolution to extract time-frequency information from time series data.
• Simulate data to test the accuracy of data analysis methods and effects of parameters.
• Implement non-parametric statistics to evaluate statistical significance while correcting for multiple comparisons.
Fee info
Fee
550 EUR, The fee includes the registration fees, course materials, access to library and IT facilities, coffee/tea, lunch, and a number of social activities.
Interested?
When:
11 July - 15 July 2022
School:
Institution:
Radboud University
Language:
English
Credits:
2 EC