[Mne_analysis] events info on single trial time-frequency epochs

[Jaakko Leppakangas]

Hi Claire,

tfr_cond_n = tfr_morlet(epochs[cond_n],freqs=freqs, n_cycles=n_cycles,
> use_fft= True, return_itc= False, decim=decim, average= False)


This is the way I would do it. The events information is not stored to the
EpochsTFR.

-Jaakko

On Thu, Mar 2, 2017 at 9:44 PM, Claire Braboszcz <claire at guakamole.org>
wrote:

> Hello,
>
> I want to create single trials time-frequency epochs to later perform
> time-frequency decoding.
> I am wondering what is the correct way for creating my epochs.  I have EEG
> data with 4 types of events.
> I have been using this code :
>
> tfr = tfr_morlet(epochs,freqs=freqs, n_cycles=n_cycles, use_fft= True,
> return_itc= False, decim=decim, average= False)
>
> But as far as I understood the EpochsTfr object that is returned by
> tfr_morlet() does not contain information about the  events, is it right?
>
> Is it better then to create an EpochsTfr object for each of my 4
> conditions  using :
>
> tfr_cond_n = tfr_morlet(epochs[cond_n],freqs=freqs, n_cycles=n_cycles,
> use_fft= True, return_itc= False, decim=decim, average= False)
>
> and then create vectors coding for each trials in each condition - or is
> there a way to transfer the events information from the original epoch data
> to the time-frequency data?
>
> I then want to use:
>
> gat.fit(tfr_epochs, y=tfr_epochs_events)
>
>
>
> Thanks,
> Claire
>
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