Hum Brain Mapp November 2017 PMID 28782865

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

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Mentions

Peak: 3 in Oct 2022

across 6 sources since Apr 2018

Extended reach

16,565

potential audience

Total likes

Video views

572

Mentions per month

Apr 2018 – Apr 2025

Where it's discussed

News28 articles
Facebook11 posts
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Reddit4 posts
Blogs3 articles
YouTube2 videos

AI synopsis

What people are saying

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.

AgreementModerate agreement

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

InterestHigh 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.

EngagementModerate engagement

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

ImpactModerate 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.

All mentions

Deep Learning Architectures for EEG Decoding and Visualization

This video discusses deep learning architectures, especially convolutional neural networks, for EEG decoding and visualization, highlighting advancements in neuroimaging and electrical engineering applications.

iNeuro · Oct 10, 2022 305 views

Mind-Controlled Drone Using Brain Sensing and Machine Learning

Explore how brain sensing devices combined with deep learning enable controlling drones with thought, showcasing advances in brain-computer interfaces and EEG decoding technology.

David Leonardi · Apr 3, 2018 267 views

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BRCC eLearning Instructional Excellence

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

Jul 25, 2022 · 314 followers View post →

Alessio

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

Dec 6, 2020 · 99 followers View post →