<html><head><meta http-equiv="Content-Type" content="text/html charset=iso-8859-1"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; ">Dear Nithin,<div><br></div><div>you should try SIFT (an EEGLAB extension). It will allow you to compute transfer entropy between two or more processes.</div><div>Best,</div><div><br></div><div>Arno</div><div><br><div><div>On Jan 31, 2014, at 10:06 AM, nithin krishna <<a href="mailto:krisnithin@gmail.com">krisnithin@gmail.com</a>> wrote:</div><br class="Apple-interchange-newline"><blockquote type="cite"><meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1"><div dir="ltr"><p class="MsoNormal" style="margin-bottom:0.0001pt;line-height:normal"><span style="font-size:12pt;font-family:"Times New Roman","serif"">Dear All,</span></p><p class="MsoNormal"><span style="font-size:12pt;line-height:115%;font-family:"Times New Roman","serif"">I am
working on a data set from a cognitive task (match the tone) and trying to
analyze phase synchronization in disparate locations, in this context I was
wondering if anybody has worked on Phase transfer entropy. Struggling with the
codes, I am trying to write code using methods published Lobier et al 2014.<span style=""> </span>Any body use this on eeglab</span></p><p class="MsoNormal"><span style="font-size:12pt;line-height:115%;font-family:"Times New Roman","serif""><img src="file:///C:/Profiles/nkrishna/Temp/msohtmlclip1/01/clip_image002.gif" height="131" width="624"></span><span style="font-size:12pt;line-height:115%;font-family:"Times New Roman","serif""></span></p>
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