[Eeglablist] The ICLabel Website -- A New Education Feature

[Makoto Miyakoshi]

Dear Luca,

I put a link to your page from my pipeline wiki page. Currently, this is
the best training and educational resource of how to evaluate EEG
independent components!

Makoto

On Thu, Dec 1, 2016 at 2:55 PM, Luca Pion-Tonachini <lpionton at ucsd.edu>
wrote:

> The ICLabel Website -- A New Education Feature
>
> I want to update everyone on a new education feature available at the
> ICLabel website (reaching.ucsd.edu:8000). The site is designed to collect
> 'crowdsourced' labels for EEG independent components (ICs), based on their
> displayed properties. I am using the submitted labels to train an automated
> IC classifier However, at the recent EEGLAB workshop the site also gained a
> fair bit of favorable response as a useful educational tool using the new
> option described below.
>
> *For new users wanting to learn the basics about classifying EEG ICs based
> on their measured properties: * I have created a Label with feedback
> option. This page is almost exactly the original labeling page, but with
> three key differences:
>
>    1. Feedback is provided after each IC label submission.
>    2. Submitted labels are not saved in the classification database.
>    3. No login is required to reach the page.
>
> The feedback provided to users is a table of all other labels for that IC
> given by other people. Each label is marked as either by a "user" who has
> signed up through the website or by an "expert" (e.g., a high-skill user
> known to me). To clarify: "user" here does not mean "worse than expert",
> but simply a volunteer label contributor whose skill level is unknown.
>
> There is still a Tutorial section giving sample classifications with text
> explanations. The Label with feedback feature is suitable for learning
> and/or teaching by any researcher or research student who wants to learn
> more about applying ICA decomposition to EEG or related data.
>
> *For (self-selected) contributors to the crowdsourced label database:* A
> second new feature is the user Profile page that now appears by default
> following login. It currently does not have very much information on your
> previous contributions, but that will change with time -- I plan to
> incorporate the output of a crowd-labelling algorithm that estimates users'
> skill by comparing submitted labels with those of established 'expert'
> users (i.e. those whose labels are most consistent with other skilled
> contributors). If there is anything else you would find useful to see
> there, do not hesitate to tell me, either by replying to this email or by
> leaving a comment on the website.
>
> I hope you all find the new Label with feedback page to be helpful and,
> after using it, some more of you will choose to become contributors who submit
> more IC labels to help the classification algorithm become more accurate.
>
> Finally, I have some working prototypes of the classifier and plan to post
> a sort of progress report on the website, but I will leave that for a
> future email.
>
> Sincerely,
> Luca Pion-Tonachini
>
>
>
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-- 
Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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