combining mags and grads on the epochs level using as_type

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#7,365 1 comment 0 reactions 0 assignees View on GitHub

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Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
25/100
Issue type
Feature
Clarity
Needs clarification
Activity status
Stale
Tech stack
python
Domain
data, machine-learning

Research direction

Start by reading the issue discussion and the rudimentary implementation in PR #7366, focusing on combining magnetometers and gradiometers at the epochs level with as_type. Clarify the expected behavior for induced power, single-trial statistics, and decoding, then determine how the result should compare with the original evokeds.

Written by the indexing model from the issue text.

Description

I would like to bring back the discussion about combining magnetometers and gradiometers on the epochs level, to use the information from both sensor types for single trial analyses, i.e. computing induced power, single trial statistics, or possibly decoding.

I implemented a rudimentary version of it (PR #7366), but am surprised to see that there is hardly any difference with the original evokeds.

Bildschirmfoto 2020-02-29 um 15 09 37
Dominant language
Python
Stars
3.5k
Forks
1.6k
Avg merge
1d 6h
Merged PRs (30d)
100

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