func.kuramoto() is shorter than timeseries about neurolib HOT 4 CLOSED

Ok that makes sense, I agree! Signal contains only signal or filtered signal but not any extracted information. The line between what is signal processing and feature extraction is a bit blurry I guess!

Which means I will fix kuramoto() and leave it in functions.py for now until we have a better idea where to collect time-series feature extraction functions like this.

from neurolib.

kuramoto() should eventually be ported to the Signal class eventually, I guess!
@jajcayn: does the Signal class only "replace" the signal by an updated (processed) version or can it also contain more (time-dependent/time-independent?) information on the signal, like phase or synchrony (in time or overall?).

from neurolib.

yesterday night I implemented apply function which applies an arbitrary function over the time dimension.. this can be of course extended to apply any function over any number of dimensions... the result could be stored with Signal, but I do not think it is a good idea... but, this way you can compute any measures from the Signal class and the result is again, DataArray with same dimensions and labels as the original Signal

from neurolib.

fixed

from neurolib.