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

[Mike X Cohen]

Dear friends and colleagues,

I am pleased to announce two summer schools on neural data analysis, in the
alluring Bucharest (Romania).

There are two separate week-long courses on neuroscience data analysis: 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. Both courses include discussions and
demos on ethically incorporating generative AI into coding, writing,
analysis, and hypothesis-generation.

Below is the direct link to the course pages with application information.
Please pass this link around to your colleagues/students who might be
interested in one or both of these courses.
https://sincxpress.com/summerschool.html

Analyzing neural time series data
(29 July - 2 August *and* 12-16 August). Fourier transform, convolution,
time-frequency analysis, synchronization, nonparametric statistics,
simulating time series data. (Note: the second session is recommended for
people taking both courses.)

Linear algebra for neuroscientists
(19-23 August). Matrix algebra, least-squares model fitting,
eigendecomposition, multivariate source separation, simulating
multicomponent and multichannel time series data.

https://sincxpress.com/summerschool.html

Please note that applications, if accepted, are selected on a
first-come-first-serve basis, and that the number of participants for each
course is limited to 30.

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

I look forward to welcoming you to Bucharest this summer!

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