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<DIV><FONT face=Arial color=#0000ff size=2><SPAN class=267491611-07072006>dear
all, </SPAN></FONT></DIV>
<DIV><FONT face=Arial color=#0000ff size=2><SPAN
class=267491611-07072006></SPAN></FONT> </DIV>
<DIV><FONT face=Arial color=#0000ff size=2><SPAN class=267491611-07072006>I am
often working with single-subject datasets, looking for gamma-band ERSP
changes.</SPAN></FONT></DIV>
<DIV><FONT face=Arial color=#0000ff size=2><SPAN
class=267491611-07072006></SPAN></FONT> </DIV>
<DIV><FONT face=Arial color=#0000ff size=2><SPAN class=267491611-07072006>I am
concerned with the fact that the ERSP measurement may reflect artifacts present
in a few trials; does anyone has advice on handling artefact rejection in high
frequency, and has anyone tried to use robust statistics (M-estimator, median)
as opposed to the mean power ?</SPAN></FONT></DIV>
<DIV><FONT face=Arial color=#0000ff size=2><SPAN
class=267491611-07072006></SPAN></FONT> </DIV>
<DIV><FONT face=Arial color=#0000ff size=2><SPAN
class=267491611-07072006>cheers</SPAN></FONT></DIV>
<DIV><FONT face=Arial color=#0000ff size=2><SPAN
class=267491611-07072006></SPAN></FONT> </DIV>
<DIV><FONT face=Arial color=#0000ff size=2><SPAN
class=267491611-07072006>Christian</SPAN></FONT></DIV>
<DIV><FONT face=Arial color=#0000ff size=2><SPAN
class=267491611-07072006></SPAN></FONT><FONT face=Arial color=#0000ff
size=2><SPAN class=267491611-07072006></SPAN></FONT> </DIV>
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