[Eeglablist] Neuroscience data analysis summer-school announcements

[Mike X Cohen]

Dear colleagues,

I am happy to announce *two week-long neuroscience data analysis courses* at
the Radboud University in Netherlands in 2019: One about
time-frequency/synchronization/statistics (*note: this same course is
offered twice due to popular demand!*), and one about linear algebra and
source-separation.

Below are the direct links to the course pages with application
information. You can also find more information, including syllabi, on
sincxpress.com <http://sincxpress.com/invivo.html>. *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
<https://www.ru.nl/radboudsummerschool/courses/2019/analyzing-neural-time-series-data/>
(8-12
July *AND* 5-9 August). Fourier transform, convolution, time-frequency
analysis, synchronization, nonparametric statistics, simulating time series
data. (The August course is recommended for people interested in both
courses.)

Linear algebra for neuroscientists
<http://www.ru.nl/radboudsummerschool/courses/2019/linear-algebra-neuroscientists>
(12-16
August). Matrix algebra, least-squares model fitting, eigendecomposition,
multivariate source separation, simulating multicomponent and multichannal
time series data.

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.

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

Mike

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