[Mne_analysis] Redefine Epochs based on different events

[Dan McCloy]

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A similar question came up just a few weeks ago on the mailing list, but it involved baselining epochs.  See this thread:

https://mail.nmr.mgh.harvard.edu/pipermail//mne_analysis/2020-March/006551.html

-- dan
Daniel McCloy
https://dan.mccloy.info
Research Scientist
Institute for Learning and Brain Sciences
University of Washington

‐‐‐‐‐‐‐ Original Message ‐‐‐‐‐‐‐
On Wednesday, March 25, 2020 9:40 AM, Edoardo Pinzuti <edoardo.pinzuti at gmail.com> wrote:

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>
> I can do it manually:  getting the data, cut every trial based on the time lags (all trials same length) and redefine the time axis with epochs.times , Is there a way to put back the data in the epoch object or create another one where an array (events,channels,time_points) can be passed? epochs.data does not work
>
> Thanks
>
> Il giorno mer 25 mar 2020 alle ore 14:29 Alexandre Gramfort <alexandre.gramfort at inria.fr> ha scritto:
>
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>> hi,
>>
>> this is no straightforward equivalent to ft_redefinetrial in mne-python as this stage.
>>
>> if you keep the stim channel in the epochs you have the information to do this.
>>
>> someone with a clearer idea of the use case can maybe share some code.
>>
>> I never had to do this myself
>>
>> Alex
>>
>> On Wed, Mar 25, 2020 at 11:57 AM Edoardo Pinzuti <edoardo.pinzuti at gmail.com> wrote:
>>
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>>>
>>>   Dear MNE experts,
>>>
>>> My experiment  contains two cues in each trial with a variable delay in between,  I defined each condition base on cue and target cue  with mne.define_target_events.  Now my '0' in time is related to the first cue. How I can redefine my epochs based on the target cue (using the time lag between the two) so that the time '0' correspond to the appearance of the target cue on each trial? Is there a function similar  to ft_redefinetrial ?
>>>
>>> Thanks
>>> Edoardo
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