[FieldTrip] Course announcements: Neural time series and multivariate analyses

[Mike X Cohen]

Dear friends,

In the summer of 2022 I will be teaching two separate week-long courses on
neuroscience data analysis, at the Radboud University in the Netherlands:
One about time-frequency/synchronization/statistics (*note: this same
course is offered twice due to popular demand!*), and one about linear
algebra and dimension-reduction/source-separation.

Below are the direct links to the course pages with application
information. Please pass these links around to your colleagues/students who
might be interested in one or both of these courses!

*Analyzing neural time series data*
(11-15 July *AND* 8-12 August). Fourier transform, convolution,
time-frequency analysis, synchronization, nonparametric statistics,
simulating time series data. (Note: the August session is recommended for
people taking both courses.)
https://www.ru.nl/radboudsummerschool/courses/2022/analyzing-neural-time-series-data-jul/
https://www.ru.nl/radboudsummerschool/courses/2022/analyzing-neural-time-series-data-aug/


*Linear algebra for neuroscientists *
(15-19 August). Matrix algebra, least-squares model fitting,
eigendecomposition, multivariate source separation, simulating
multicomponent and multichannel time series data.
https://www.ru.nl/radboudsummerschool/courses/2022/linear-algebra-neuroscientists/


Please note that applications, if approved, are selected on a
first-come-first-serve basis, and that the number of participants for each
course is limited by room size. The courses tend to fill up around
April/May, after which there is a wait-list.

If you have questions about the courses, please feel free to contact me.

-- 
Mike X Cohen, PhD
Fresh look: mikexcohen.com
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