Task 2 -- Mandatory Tasks: Difference between revisions
From Master of Neuroscience Wiki
Created page with "Errors are an option… === 2 === Basic:<div class="figure"> File:31 0.png </div>Scaled by divison max() for every individual frequency band: File:31 1.png<div class="figure"> </div> == 3 == without preparing the data via /= std:<div class="figure"> File:31 2.png </div>with equalizing the power via /= std (obviously not the best idea in this case):<div class="figure"> File:31 3.png </div> == 4 == Phase Coherence<div class="figure"> File:31 4.png <..." |
(No difference)
|
Revision as of 13:17, 23 October 2025
Errors are an option…
2
Basic:
Scaled by divison max() for every individual frequency band:
3
without preparing the data via /= std:
with equalizing the power via /= std (obviously not the best idea in this case):
4
Phase Coherence
Spectral Coherence
5
Phase Coherence
Spectral Coherence
6
{: .topic-optional} Don’t normalize the time series!
i.e. don’t do something like this:
data -= data.mean(axis=1, keepdims=True)
data /= data.std(axis=1, keepdims=True)
Otherwise you will not classify anything.
Scaled by divison max() for every individual frequency band (Bad times happen):
7
{: .topic-optional} Don’t normalize the time series!
i.e. don’t do something like this:
data -= data.mean(axis=1, keepdims=True)
data /= data.std(axis=1, keepdims=True)
Otherwise you will not classify anything.
