[Mne_analysis] Redefine Epochs based on different events

Edoardo Pinzuti edoardo.pinzuti at gmail.com
Wed Mar 25 12:40:20 EDT 2020
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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:

>         External Email - Use Caution
>
> 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:
>
>>         External Email - Use Caution
>>
>>   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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