[Mne_analysis] Average Topo Maps

Geller, Jason jason-geller at uiowa.edu
Thu Oct 10 16:15:31 EDT 2019
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Hello,

Is there anyway to get the average topo across the whole time course using the plot_topomap function?


On Oct 10, 2019, at 10:28 AM, mne_analysis-request at nmr.mgh.harvard.edu<mailto:mne_analysis-request at nmr.mgh.harvard.edu> wrote:

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Today's Topics:

  1. Re: Cluster-based Permutation T-test for Decoders (JR KING)
  2. Brainhack Global 2019: Call for Local Event Sites and
     Participation (brainhack org)


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Message: 1
Date: Thu, 10 Oct 2019 13:03:44 +0200
From: JR KING <jeanremi.king at gmail.com>
Subject: Re: [Mne_analysis] Cluster-based Permutation T-test for
Decoders
To: Maryam Zolfaghar <Maryam.Zolfaghar at colorado.edu>
Cc: Discussion and support forum for the users of MNE Software
<mne_analysis at nmr.mgh.harvard.edu>
Message-ID:
<CAOcgdchZm12gLauLF3NBPmqx9gcCesXMniGaCv-++b1KYLxeTA at mail.gmail.com>
Content-Type: text/plain; charset="utf-8"

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You can use a one-versus-all classifier and compute the average AUC across
categories

HTH
JR

On Thu, 10 Oct 2019 at 05:24, Maryam Zolfaghar <
Maryam.Zolfaghar at colorado.edu> wrote:

       External Email - Use Caution

Hi all,

I am trying to

  - use decoders to decode whether ERP or time-frequency signals have
  any meaninful information of four classes (location of the target on the
  screen) in my experiment *over time *(according to this example
  <https://mne.tools/stable/auto_tutorials/machine-learning/plot_sensors_decoding.html#decoding-over-time>
  ).
  -  and then test whether the output of the decoder is significantly
  above the chance (in my case: 1/4=0.25) using a permutation t-test with
  cluster-based correction.

My question is:

  - In the example
  <https://mne.tools/stable/auto_tutorials/machine-learning/plot_sensors_decoding.html#decoding-over-time>
  there are only two classes, so AUC was used. However, what if there are
  more than two classes? How I can analyze the significance of the decoder's
  output with the cluster-based correction?


Thanks,
-Mary

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Message: 2
Date: Thu, 10 Oct 2019 16:28:15 +0100
From: brainhack org <brainhackorg at gmail.com>
Subject: [Mne_analysis] Brainhack Global 2019: Call for Local Event
Sites and Participation
To: mne_analysis at nmr.mgh.harvard.edu
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<CAB+cRW7nsnX7nB4X4KcJNPTev9mzZ-QSHsQw60SB1WSb_qLQUw at mail.gmail.com>
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Dear colleagues,


*apologise for cross posting*


Brainhack Global 2019 is collecting registrations for hosting sites! The
event will be run globally, on November 13-17, to share ideas and
experiences with colleagues across diverse disciplines and institutes.


Don?t forget that you are the designer of your own event! You can run your
hackathon around a theme that your institute is working on, hold a train
track to share the expertise among your colleagues or broadcast all around
the world, propose your own projects to run collaboratively and make them
heard across the globe, or work on local proceedings and guidelines that
would facilitate open and transparent scientific research for the local and
global neuroscience community.


Brainhack Global 2019 team is ready to help in hosting local events. Please
check our website for more information and FAQs, and our Github repository
for guidelines and materials that we provide. If you are interested in
running a Brainhack, please fill the form in the Brainhack Global 2019
website! If you are planning to participate in an event, please check out
the 2019 event hosts registered with us so far from the Brainhack Global
2019 website.


http://brainhack.org/global2019/


Read our FAQs!  http://www.brainhack.org/global2019/#faq


Follow Brainhack Twitter!  https://twitter.com/brainhackorg


Join discussions on Brainhack Mattermost!

https://mattermost.brainhack.org/brainhack/channels/brainhack-global-2019


Important Dates

13 November 2019 Host confirmation

13-17 November 2019 Brainhack events


We look forward to having you all in this very exciting event!



The Brainhack Global 2019 Organizing Committee

Cameron Craddock, The University of Texas at Austin Dell Medical School,
Texas, USA

Pierre Bellec, Centre de Recherche de l'Institut Universitaire de G?riatrie
de Montr?al, Montr?al, Canada

Daniel Margulies, CNRS, Paris, France

Isil Poyraz Bilgin, The University of Reading, Reading, UK

Sofie Van Den Bossche, Ghent University, Ghent, Belgium

Damion Demeter, The University of Texas, Texas, USA

Anibal S?lon Heinsfeld, The University of Texas at Austin Dell Medical
School, Texas, USA

Peer Herholz, Montr?al Neurological Institute & Hospital, McGill
University, Montr?al, Canada

Jon Haitz Legarreta, Universit? de Sherbrooke, Sherbrooke, Canada
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