Course information

Course title
Analyzing Neural Time Series Data
University / Organization
Radboud University
City
Nijmegen
Country
Netherlands
Academic level
Both Msc and PhD
Language
English
School
Address
Course director
Course lecturer(s)
Dr. Michael Cohen
Course aim
Understand the mechanics of the Fourier transform and how to implement it in Matlab. Use the 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.
Course contents / programme
Required Knowledge and preparation
Teaching methods
Assessment
Course type
Summer School
Consecutive days
Yes
Online course
No
Duration (net days)
5
Credits
2
Course fee
€585. Discount available. See website
Direct e-mail to register
Paper submission required?
Motivation letter: should include “By the end of this course, I want to be able to…” and state your previous experience with neuroscience date and programming languages (Matlab/Python/Other). CV
Logo of institution
front approval