Deep learning with convolutional neural networks for EEG decoding and visualization.

Robin Tibor Schirrmeister, Jost Tobias Springenberg, Lukas Dominique Josef Fiederer, Martin Glasstetter, Katharina Eggensperger, Michael Tangermann, Frank Hutter, Wolfram Burgard, Tonio Ball

November 2017 Hum Brain Mapp

Synopsis of Social media discussions

The discussions highlight the importance of deep learning in EEG decoding, with mentions of previous influential studies and ongoing projects like meta-learning for fine-tuning networks, illustrating both respect for established work and enthusiasm for future developments. The tone is supportive and forward-looking, emphasizing the publication's relevance to ongoing research efforts.

A
Agreement
 Moderate agreement

Most discussions acknowledge the significance of deep learning methods in EEG analysis, with references to prior impactful work and ongoing research efforts.

I
Interest
 High level of interest

The discussion reflects high interest, particularly in topics like meta-learning, fine-tuning networks, and visualization, indicating the community's curiosity about technological advancements.

E
Engagement
 Moderate level of engagement

While not deeply technical, some posts show engagement through referencing specific studies and their applications, suggesting a moderate level of involvement.

I
Impact
 Moderate level of impact

The mentions of widely cited work and the emphasis on innovative techniques suggest a recognition of the publication's potential influence in advancing EEG decoding methodologies.

Social Mentions

YouTube

2 Videos

Facebook

11 Posts

Twitter

8 Posts

Blogs

3 Articles

News

28 Articles

Reddit

4 Posts

Metrics

Video Views

572

Total Likes

19

Extended Reach

16,565

Social Features

56

Timeline: Posts about article

Top Social Media Posts

Posts referencing the article

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  • Frank Hutter
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    The first PhD position is on (meta-)learning how to best finetune large pretrained networks, with an application to EEG data: https://t.co/xx1ldMbqwg This is a follow-up of our first competitive DL method for EEG (cited >1800 times): https://t.co/R0n86rTJmW 2/4
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  • BRCC eLearning Instructional Excellence
    @BRCCTLC (Twitter)

    Deep learning with convolutional neural networks for EEG decoding and visualization #MondayMotivation https://t.co/LHZxZh2gvN #digitallearning
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    July 25, 2022

  • Alessio
    @alesssio1632 (Twitter)

    Deep learning with convolutional neural networks for EEG decoding and visualization [Schirrmeister R. T. et tal., 2017] https://t.co/zvySWqYZBG
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Abstract Synopsis