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<body style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class=""><p><span style="padding: 3px 10px; border-radius: 5px; color: #ffffff; font-weight: bold; display: inline-block; background-color: #ff0000;"> External Email - Use Caution </span></p><p></p>
Hello,
<div class=""><br class="">
</div>
<div class="">Is there anyway to get the average topo across the whole time course using the <span style="color: inherit; font-style: inherit; font-size: 15px; orphans: 2; widows: 2; background-color: rgb(250, 250, 250);" class=""><font face="Times" class="">plot_topomap
function?</font></span>
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<div><br class="">
<blockquote type="cite" class="">
<div class="">On Oct 10, 2019, at 10:28 AM, <a href="mailto:mne_analysis-request@nmr.mgh.harvard.edu" class="">
mne_analysis-request@nmr.mgh.harvard.edu</a> wrote:</div>
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Today's Topics:<br class="">
<br class="">
1. Re: Cluster-based Permutation T-test for Decoders (JR KING)<br class="">
2. Brainhack Global 2019: Call for Local Event Sites<span class="Apple-tab-span" style="white-space:pre">
</span>and<br class="">
Participation (brainhack org)<br class="">
<br class="">
<br class="">
----------------------------------------------------------------------<br class="">
<br class="">
Message: 1<br class="">
Date: Thu, 10 Oct 2019 13:03:44 +0200<br class="">
From: JR KING <jeanremi.king@gmail.com><br class="">
Subject: Re: [Mne_analysis] Cluster-based Permutation T-test for<br class="">
<span class="Apple-tab-span" style="white-space:pre"></span>Decoders<br class="">
To: Maryam Zolfaghar <Maryam.Zolfaghar@colorado.edu><br class="">
Cc: Discussion and support forum for the users of MNE Software<br class="">
<span class="Apple-tab-span" style="white-space:pre"></span><mne_analysis@nmr.mgh.harvard.edu><br class="">
Message-ID:<br class="">
<span class="Apple-tab-span" style="white-space:pre"></span><CAOcgdchZm12gLauLF3NBPmqx9gcCesXMniGaCv-++b1KYLxeTA@mail.gmail.com><br class="">
Content-Type: text/plain; charset="utf-8"<br class="">
<br class="">
External Email - Use Caution <br class="">
<br class="">
You can use a one-versus-all classifier and compute the average AUC across<br class="">
categories<br class="">
<br class="">
HTH<br class="">
JR<br class="">
<br class="">
On Thu, 10 Oct 2019 at 05:24, Maryam Zolfaghar <<br class="">
Maryam.Zolfaghar@colorado.edu> wrote:<br class="">
<br class="">
<blockquote type="cite" class=""> External Email - Use Caution<br class="">
<br class="">
Hi all,<br class="">
<br class="">
I am trying to<br class="">
<br class="">
- use decoders to decode whether ERP or time-frequency signals have<br class="">
any meaninful information of four classes (location of the target on the<br class="">
screen) in my experiment *over time *(according to this example<br class="">
<https://mne.tools/stable/auto_tutorials/machine-learning/plot_sensors_decoding.html#decoding-over-time><br class="">
).<br class="">
- and then test whether the output of the decoder is significantly<br class="">
above the chance (in my case: 1/4=0.25) using a permutation t-test with<br class="">
cluster-based correction.<br class="">
<br class="">
My question is:<br class="">
<br class="">
- In the example<br class="">
<https://mne.tools/stable/auto_tutorials/machine-learning/plot_sensors_decoding.html#decoding-over-time><br class="">
there are only two classes, so AUC was used. However, what if there are<br class="">
more than two classes? How I can analyze the significance of the decoder's<br class="">
output with the cluster-based correction?<br class="">
<br class="">
<br class="">
Thanks,<br class="">
-Mary<br class="">
<br class="">
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Message: 2<br class="">
Date: Thu, 10 Oct 2019 16:28:15 +0100<br class="">
From: brainhack org <brainhackorg@gmail.com><br class="">
Subject: [Mne_analysis] Brainhack Global 2019: Call for Local Event<br class="">
<span class="Apple-tab-span" style="white-space:pre"></span>Sites<span class="Apple-tab-span" style="white-space:pre">
</span>and Participation<br class="">
To: mne_analysis@nmr.mgh.harvard.edu<br class="">
Message-ID:<br class="">
<span class="Apple-tab-span" style="white-space:pre"></span><CAB+cRW7nsnX7nB4X4KcJNPTev9mzZ-QSHsQw60SB1WSb_qLQUw@mail.gmail.com><br class="">
Content-Type: text/plain; charset="utf-8"<br class="">
<br class="">
External Email - Use Caution <br class="">
<br class="">
Dear colleagues,<br class="">
<br class="">
<br class="">
*apologise for cross posting*<br class="">
<br class="">
<br class="">
Brainhack Global 2019 is collecting registrations for hosting sites! The<br class="">
event will be run globally, on November 13-17, to share ideas and<br class="">
experiences with colleagues across diverse disciplines and institutes.<br class="">
<br class="">
<br class="">
Don?t forget that you are the designer of your own event! You can run your<br class="">
hackathon around a theme that your institute is working on, hold a train<br class="">
track to share the expertise among your colleagues or broadcast all around<br class="">
the world, propose your own projects to run collaboratively and make them<br class="">
heard across the globe, or work on local proceedings and guidelines that<br class="">
would facilitate open and transparent scientific research for the local and<br class="">
global neuroscience community.<br class="">
<br class="">
<br class="">
Brainhack Global 2019 team is ready to help in hosting local events. Please<br class="">
check our website for more information and FAQs, and our Github repository<br class="">
for guidelines and materials that we provide. If you are interested in<br class="">
running a Brainhack, please fill the form in the Brainhack Global 2019<br class="">
website! If you are planning to participate in an event, please check out<br class="">
the 2019 event hosts registered with us so far from the Brainhack Global<br class="">
2019 website.<br class="">
<br class="">
<br class="">
http://brainhack.org/global2019/<br class="">
<br class="">
<br class="">
Read our FAQs! http://www.brainhack.org/global2019/#faq<br class="">
<br class="">
<br class="">
Follow Brainhack Twitter! https://twitter.com/brainhackorg<br class="">
<br class="">
<br class="">
Join discussions on Brainhack Mattermost!<br class="">
<br class="">
https://mattermost.brainhack.org/brainhack/channels/brainhack-global-2019<br class="">
<br class="">
<br class="">
Important Dates<br class="">
<br class="">
13 November 2019 Host confirmation<br class="">
<br class="">
13-17 November 2019 Brainhack events<br class="">
<br class="">
<br class="">
We look forward to having you all in this very exciting event!<br class="">
<br class="">
<br class="">
<br class="">
The Brainhack Global 2019 Organizing Committee<br class="">
<br class="">
Cameron Craddock, The University of Texas at Austin Dell Medical School,<br class="">
Texas, USA<br class="">
<br class="">
Pierre Bellec, Centre de Recherche de l'Institut Universitaire de G?riatrie<br class="">
de Montr?al, Montr?al, Canada<br class="">
<br class="">
Daniel Margulies, CNRS, Paris, France<br class="">
<br class="">
Isil Poyraz Bilgin, The University of Reading, Reading, UK<br class="">
<br class="">
Sofie Van Den Bossche, Ghent University, Ghent, Belgium<br class="">
<br class="">
Damion Demeter, The University of Texas, Texas, USA<br class="">
<br class="">
Anibal S?lon Heinsfeld, The University of Texas at Austin Dell Medical<br class="">
School, Texas, USA<br class="">
<br class="">
Peer Herholz, Montr?al Neurological Institute & Hospital, McGill<br class="">
University, Montr?al, Canada<br class="">
<br class="">
Jon Haitz Legarreta, Universit? de Sherbrooke, Sherbrooke, Canada<br class="">
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