<p><span style="padding: 3px 10px; border-radius: 5px; color: #ffffff; font-weight: bold; display: inline-block; background-color: #ff0000;"> External Email - Use Caution </span></p><p></p><div dir="ltr"><br><div><br></div><div>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</div><div><br></div><div>Thanks <br></div><div><br></div></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">Il giorno mer 25 mar 2020 alle ore 14:29 Alexandre Gramfort <<a href="mailto:alexandre.gramfort@inria.fr" target="_blank">alexandre.gramfort@inria.fr</a>> ha scritto:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><p><span style="padding:3px 10px;border-radius:5px;color:rgb(255,255,255);font-weight:bold;display:inline-block;background-color:rgb(255,0,0)"> External Email - Use Caution </span></p><p></p><div dir="ltr">hi,<div><br></div><div>this is no straightforward equivalent to ft_redefinetrial in mne-python as this stage.</div><div><br></div><div>if you keep the stim channel in the epochs you have the information to do this.</div><div><br></div><div>someone with a clearer idea of the use case can maybe share some code.</div><div><br></div><div>I never had to do this myself</div><div><br></div><div>Alex</div><div><br></div></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Wed, Mar 25, 2020 at 11:57 AM Edoardo Pinzuti <<a href="mailto:edoardo.pinzuti@gmail.com" target="_blank">edoardo.pinzuti@gmail.com</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><p><span style="padding:3px 10px;border-radius:5px;color:rgb(255,255,255);font-weight:bold;display:inline-block;background-color:rgb(255,0,0)"> External Email - Use Caution </span></p><p></p><div dir="ltr"> Dear MNE experts,<div><br></div><div>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 ?</div><div><br></div><div><br></div><div>Thanks</div><div>Edoardo</div></div>
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