Comprehensive Introduction to EEGLAB (On-Demand Webinar)
Availability
On-Demand
Access expires 90 days after start
Cost
Active Member: $0.00
Non-Member: $30.00
Early Career Member: $0.00
Associate Member: $0.00
Trainee Member: $0.00
Industry Member: $0.00
Credit Offered
No Credit Offered

Release Date: October 31, 2024

Expiration Date: October 29, 2027

This recorded webinar provides a practical introduction to EEGLAB, one of the most widely used open-source software platforms for electroencephalography (EEG) research. Designed for trainees, early-career investigators, and researchers in neuroscience, cognitive science, and neuromodulation, the activity explores the core features, functionalities, and applications of EEGLAB for EEG data processing, analysis, and visualization.

Through demonstrations, case-based examples, and expert guidance, learners will gain a foundational understanding of the EEGLAB interface, preprocessing workflows, plugin extensions, and integration with other research tools. The activity also highlights best practices for implementing EEGLAB in research settings, including data management strategies, customization options, and approaches to troubleshooting common challenges. Participants will leave with practical knowledge to help select and apply appropriate EEG analysis methods using this powerful open-source platform.

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Trainees, early-career researchers, and neuroscience professionals, particularly those conducting EEG research and seeking to expand their toolkit with open-source platforms.

Following participation in this activity, learners will be able to:

  • Gain a comprehensive understanding of the fundamental features and functionalities of EEGLAB, including its interface, data processing capabilities, and plugin extensions.
  • Learn how to apply EEGLAB to various EEG research scenarios, such as preprocessing, data analysis, and visualization, with a focus on real-world case studies and integration with other software tools
  • Develop strategies for effectively implementing EEGLAB in their research, including best practices for data management, customization options, and troubleshooting common challenges.

Moderators: 
Ilknur Telkes, PhD, MS
Lisa Goudman, PhD, MSc

Panelist:
Arnaud Delorme, PhD

This is activity is not eligible for CME credit.
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