[Eeglablist] Timewarp: re-epoch or adjust desired latencies
ole.traupe at tu-berlin.de
Wed Sep 24 00:08:56 PDT 2014
Only after my posting to the list I Iearned that the two approaches are
not the same. Simply achieving the desired warping anchors via
subtraction led to ERSP plots that didn't make any sense (they were
entirely red in my case). Probably that is because the provided ms
values always (including the first one) relate to actual locations in
Am 23.09.2014 19:30, schrieb Makoto Miyakoshi:
> Dear Fiorenzo,
> Could you share your recent experience with timewarp option with him?
> Unfortunately I haven't used it myself.
> Ramon, Ole is in your position in TUB. I appreciate your support for
> him. I've heard timewarp option is either unstable or limited to use
> somehow, but for the mobi research it will be important.
> On Fri, Sep 19, 2014 at 4:16 AM, Ole Traupe <ole.traupe at tu-berlin.de
> <mailto:ole.traupe at tu-berlin.de>> wrote:
> Dear all,
> I would like to see, whether I understood the 'timewarp' option
> I have epoched my data according to one event, but I would like to
> warp using some surrounding events. The latency of the very first
> of these surrounding events shall finally be 0. Is there a
> difference between:
> a) epoching according to the first event
> b) simply adjusting the manually computed median latencies
> (provided for the timewarp) by subtracting the first one?
> In my understanding, newtimef() sets the first latency and warps
> the following accordingly. Then there would be no difference. Is
> this how it's done?
> Dr. Ole Traupe
> Labor Manager
> Biopsychologie und Neuroergonomie
> Technische Universität Berlin
> Institut für Psychologie und Arbeitswissenschaft
> Sekr. MAR 3-2
> Marchstr. 23
> 10587 Berlin
> Zimmer: MAR 3041
> Telefon: (+49) 030 314 22721 <tel:%28%2B49%29%20030%20314%2022721>
> Fax: (+49) 030 314 25274 <tel:%28%2B49%29%20030%20314%2025274>
> Email: ole.traupe at tu-berlin.de <mailto:ole.traupe at tu-berlin.de>
> Website: http://www.bpn.tu-berlin.de
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> Makoto Miyakoshi
> Swartz Center for Computational Neuroscience
> Institute for Neural Computation, University of California San Diego
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