[Eeglablist] slowly scrolling plot

Ramón Martinez nucleuscub at gmail.com
Thu Apr 2 11:36:03 PDT 2015


Hi guys,
Yes, we have introduced a few changes to improve the speed of eegplot, but
those changes has not been released yet.  However,  you can get them from
the development version in our git repo in Bitbucket (
https://bitbucket.org/sccn_eeglab/eeglab).
 Check this post from the list for more details, (
http://sccn.ucsd.edu/pipermail/eeglablist/2015/009237.html)
Hope this helps,
 Ramon

On Wed, Apr 1, 2015 at 3:10 PM, Makoto Miyakoshi <mmiyakoshi at ucsd.edu>
wrote:

> Dear Peter,
>
> There was a problem with real-time refreshing speed, especially to obtain
> the cursor position to read amplitude, in Matlab 2014b. Ramon has made a
> partial fix so that when the cursor is outside the plotting window it does
> not read the amplitude. I wonder in your case if the slowness is related to
> it...
>
> Makoto
>
> On Tue, Mar 31, 2015 at 11:15 AM, Bachman, Peter <bachmanpm at upmc.edu>
> wrote:
>
>>  Hi everyone,
>>
>>
>>
>> I’m wondering if anyone’s aware of any Matlab (R2014b, with EEGLAB
>> 13_4_4b, set to single precision) or Windows (7) parameters I can change to
>> increase how quickly I can scroll through continuous data (using
>> pop_eegplot).
>>
>>
>>
>> The particular continuous files are large (64 channels, 1024 Hz, 20 min)
>> and I’d prefer not to downsample or split them; however, I should also have
>> plenty of processing capacity (32 GB RAM and 28 cores).
>>
>>
>>
>> Is there anything I can do with swap file size or any graphic processor
>> unit tweaks I can make to allow me to scroll through the continuous data
>> without 5 or 6 sec of lag time?
>>
>>
>>
>> Thanks!
>>
>> Pete
>>
>>
>>
>>
>>
>> Peter Bachman, PhD
>> Neuroscience of Risk & Development Laboratory
>> Department of Psychiatry
>> University of Pittsburgh
>> (412) 647-9465
>> bachmanpm at upmc.edu
>>
>>
>>
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>
>
>
> --
> Makoto Miyakoshi
> Swartz Center for Computational Neuroscience
> Institute for Neural Computation, University of California San Diego
>



-- 
_____________________________________________________
Ramon Martinez-Cancino
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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