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<div><span style="background-color: rgba(255, 255, 255, 0);">Hello Makoto,</span></div>
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<div><span style="background-color: rgba(255, 255, 255, 0);">Is it possible to use that function to get regions of time that are considered artefactual? Rather than it removing the data itself?</span></div>
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<div><span style="background-color: rgba(255, 255, 255, 0);">I think the function pop_rejcont has that functionality. Otherwise its a stunning function!</span></div>
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<div><span style="background-color: rgba(255, 255, 255, 0);">Tyler</span></div>
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Sent from my iPad</div>
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On 30 Sep 2014, at 2:50 am, Makoto Miyakoshi <<a href="mailto:mmiyakoshi@ucsd.edu">mmiyakoshi@ucsd.edu</a>> wrote:<br>
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<div dir="ltr">Dear Arun,
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<div>The point in ASR 20 is to let ICA learn artifacts well but at the same time protect ICA from outliers in the raw data.</div>
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<div>> I have been using default values with good results. But some of our lab's meditation data were losing visible 'alpha' patterns with this.<br>
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<div class="gmail_extra"><br>
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<div class="gmail_extra">Right, it happened to me too. That's why I increased the threshold far higher.</div>
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<div class="gmail_extra">After all, you cannot completely separate and remove artifacts only. The merit of ASR is evaluated in a total SNR increase, and there is no guarantee that the signal will be absolutely protected e.g. if Method A removes 10 artifacts
and 1 signal, and Method B removes 30 artifacts and 2 signal, Method B is better in total.</div>
<div class="gmail_extra"><br>
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<div class="gmail_extra">Makoto</div>
<div class="gmail_extra"><br>
<div class="gmail_quote">On Mon, Sep 29, 2014 at 9:37 AM, Arun Sasidharan <span dir="ltr">
<<a href="mailto:arunsasi84@gmail.com" target="_blank">arunsasi84@gmail.com</a>></span> wrote:<br>
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<div dir="ltr">Dear Makoto,
<div>Thanks for the reply. I was wondering how such a large std value would be used. </div>
<div>I have been using default values with good results. But some of our lab's meditation data were losing visible 'alpha' patterns with this.</div>
<div>I will use this and give my feed back.</div>
<div>Once again thanks.... </div>
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<div class="gmail_extra"><br>
<div class="gmail_quote">On 29 September 2014 21:39, Makoto Miyakoshi <span dir="ltr">
<<a href="mailto:mmiyakoshi@ucsd.edu" target="_blank">mmiyakoshi@ucsd.edu</a>></span> wrote:<br>
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<div dir="ltr">Dear Arun,
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<div>Read the GUI carefully and you'll find one of the boxes says '... using ASR' in which the default value could be 4 or 5 but change it to 20.</div>
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<div>Makoto</div>
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<div class="gmail_extra"><br>
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<div>On Sun, Sep 28, 2014 at 2:24 AM, Arun Sasidharan <span dir="ltr"><<a href="mailto:arunsasi84@gmail.com" target="_blank">arunsasi84@gmail.com</a>></span> wrote:<br>
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<div dir="ltr">Dear Makoto,
<div>In the last email with this topic ('Methods of improving SNR'), you mentioned that ASR threshold of "20" produced good results. Could you kindly help me identify the parameter of clean_raw/clean_asr that I need to change to acheve this. </div>
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<div>Thanks... <span><font color="#888888"><br clear="all">
<div><br>
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-- <br>
<div dir="ltr"><font color="#999999">Dr Arun Sasidharan<br>
PhD Scholar & Senior Research Fellow (ICMR) </font>
<div><font color="#999999">Dept of Neurophysiology & Multi-modal Brain Image Analysis Laboratory (MBIAL)<br>
NIMHANS, Bangalore-560029, India.</font>
<div><span style="background-color:rgb(255,255,255)"><a href="http://nphy.weebly.com/arun-sasidharan.html" target="_blank">http://nphy.weebly.com/arun-sasidharan.html</a></span>
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<a href="http://in.linkedin.com/pub/dr-arun-sasidharan/18/a15/352" target="_blank">http://in.linkedin.com/pub/dr-arun-sasidharan/18/a15/352</a><br>
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<span><font color="#888888"><br>
<br clear="all">
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-- <br>
<div dir="ltr">Makoto Miyakoshi<br>
Swartz Center for Computational Neuroscience<br>
Institute for Neural Computation, University of California San Diego<br>
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<br clear="all">
<div><br>
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-- <br>
<div dir="ltr"><font color="#999999">Dr Arun Sasidharan<br>
PhD Scholar & Senior Research Fellow (ICMR) </font>
<div><font color="#999999">Dept of Neurophysiology & Multi-modal Brain Image Analysis Laboratory (MBIAL)<br>
NIMHANS, Bangalore-560029, India.</font>
<div><span style="background-color:rgb(255,255,255)"><a href="http://nphy.weebly.com/arun-sasidharan.html" target="_blank">http://nphy.weebly.com/arun-sasidharan.html</a></span>
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<a href="http://in.linkedin.com/pub/dr-arun-sasidharan/18/a15/352" target="_blank">http://in.linkedin.com/pub/dr-arun-sasidharan/18/a15/352</a><br>
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<br>
<br clear="all">
<div><br>
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-- <br>
<div dir="ltr">Makoto Miyakoshi<br>
Swartz Center for Computational Neuroscience<br>
Institute for Neural Computation, University of California San Diego<br>
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