<html><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; ">Dear Xiaoyun,<div><br></div><div>there is no obvious solution to this problem. In the latest EEGLAB version (currently only in house) we have memory mapping which means that the data stays on disk. However, even in this version you would not be able to import your dataset because Matlab has first to import the full dataset in memory and then to save it. The trick would be to rewrite part of the loadcnt.m function so that the data is rewritten on disk in a standard float file as it is being read (float32 format). </div><div><br></div><div>Unfortunately unless someone is motivated to undertake this, it will not be implemented. It is a matter of a couple hours of programming and I can guide someone through this if anybody is interested. If you do it, I can send you the latest in house EEGLAB version so you can test it further.</div><div><br></div><div>Also, it would be good to have this for other popular data formats.</div><div>Best,</div><div><br></div><div>Arno</div><div><br><div><div>On 18 nov. 08, at 11:44, <<a href="mailto:liangxiaoyunseu@hotmail.com">liangxiaoyunseu@hotmail.com</a>> <<a href="mailto:liangxiaoyunseu@hotmail.com">liangxiaoyunseu@hotmail.com</a>> wrote:</div><br class="Apple-interchange-newline"><blockquote type="cite"> <div id="MailContainerBody" style="PADDING-RIGHT: 10px; PADDING-LEFT: 10px; PADDING-TOP: 15px" bgcolor="#ffffff" leftmargin="0" topmargin="0" canvastabstop="true" name="Compose message area"> <div><font face="Arial" size="2">Hi all,</font></div> <div><font face="Arial" size="2"> I was trying to use the eeglab to process the eeg dataset acquired with fMRI simultaeously using neuroscan EEG system. However, the dataset was very large (more than 1G). Even if I used 64 bit matlab, I still found the same problem of "out of memory". Did anyone come across the same problem before.</font></div> <div><font face="Arial" size="2">Do you guys have any good ideas to address such issues? In addition, I learned that there is a method to read just some channels or epochs once. But I don't know how to deal with it. If anyone could tell me about it, I would greatly appreciate that!</font></div> <div><font face="Arial" size="2"> Thanks a lot!</font></div> <div><font face="Arial" size="2"></font> </div> <div><font face="Arial" size="2"></font> </div> <div><font face="Arial" size="2"> Best,</font></div> <div><font face="Arial" size="2"> Xiaoyun Liang</font></div></div></blockquote></div></div></body></html>