[Mne_analysis] MNE and EEG channel synchrony

[Theodore Vasiloudis]

Thank you Alexandre, that cleared things up.

@Hari
I now see what you mean, I found the cwt_morlet function in the code, it
was missing from the reference docs
and that's why I couldn't find it initially, I will try using that.

Thanks for you help.

On Tue, Oct 14, 2014 at 9:43 PM, Alexandre Gramfort <
alexandre.gramfort at telecom-paristech.fr> wrote:

> hi,
>
> here is a code snippet that should help.
>
> Best,
> Alex
>
> ---
> import numpy as np
> import mne
>
> sfreq = 1000.
> n_channels = 60
> n_times = int(sfreq * 30)  # 30s of data
> data = 1e-6 * np.random.randn(n_channels, n_times)  # data in microvolts
> ch_names = ['EEG%03d' % (k + 1) for k in range(n_channels)]
> ch_types = ['eeg' for _ in range(n_channels)]
> info = mne.create_info(ch_names, sfreq, ch_types)
> raw = mne.io.RawArray(data, info)
> events = mne.make_fixed_length_events(raw, id=1, duration=5.)
> epochs = mne.Epochs(raw, events, event_id=1, tmin=0, tmax=5.)
> evoked = epochs.average()
> evoked.plot()
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