Check out Arabs in Neuroscience (AiN) on Twitter.
Community for Arabic speakers interested in Neuroscience, Cognitive Science, and Psychology https://twitter.com/ArabsInNeuro?s=20&t=4Uu6J5X8SOxXoP-pjnJ1bg

EEG Data Processing and Classification with g.BSanalyze Under MATLAB - MATLAB & Simulink
https://www.mathworks.com/company/newsletters/articles/eeg-data-processing-and-classification-with-gbsanalyze-under-matlab.html

GitHub - zabir-nabil/eeg-rsenet: Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network
https://github.com/zabir-nabil/eeg-rsenet

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*How AI can be Applied to Brain Signals to read our Minds?*

Interested in knowing?

Join in for a talk on this topic at Saturday, 7PM IST

Calendar Invite: https://bit.ly/DLonEEG




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Topic : *Challenges and opportunities for Deep learning and EEG*


*Abstract*:
Deep learning has revolutionized many research and application domains in the last decade, pushing the boundaries of automated handling of modalities such as images, text and speech. The fields of neuroscience and neuroimaging, though slower in their adoption, also increasingly rely on deep learning for brain data analysis. Over the last few years, deep neural networks have become a valuable tool for processing electroencephalography (EEG) data across domains such as sleep monitoring, clinical diagnosis and brain-computer interfacing. In this talk, speaker will give a brief overview of how deep learning has been applied to EEG data, focusing on domain-specific challenges deep learning is particularly well positioned to help with. Specifically, speaker will present recent examples showing (1) how self-supervised learning can help train deep neural networks on EEG data in the absence of costly expert-provided labels and (2) how attention mechanisms can be designed to improve the handling of real-world EEG in challenging noise conditions.

*About the Speaker*:
Hubert Banville is a research scientist at InteraXon Inc. in Toronto, Canada. His work focuses on developing machine learning methodology to extract insights from biosignals and generate new real-world applications of neurotechnology. During his PhD at Inria and Université Paris-Saclay, Hubert developed novel deep learning algorithms to leverage the vast amounts of unlabelled and noisy brain activity data generated by out-of-the-lab electroencephalography applications. With a background in biomedical engineering (Polytechnique Montréal), he also previously conducted research on hybrid brain-computer interfaces (INRS, Université du Québec).


Join us in this exciting discussion forum! Tune in at 7 pm IST on Saturday, August 06.

register here: https://bit.ly/NTXIndia

Announcement 💥🔥
Will start a YouTube series on "How to make your own BCI EEG headset from A to Z"
Stay tuned 😉

I have ordered some EEG electrodes but I received ECG ones 😢

Question for you, what makes the difference between EEG and ECG?
Why we can't use ECG as EEG ones?

New Method for Measuring Brain Activity Could Help Multiple Sclerosis Patients - Neuroscience News
https://neurosciencenews.com/ms-brain-activity-21734/

#copied
HIRING POSTDOCS, willseylab.org

I am looking for enthusiastic and capable postdoctoral researchers to help build a human brain-computer interface (BCI) lab at the University of Texas at Austin for motor and speech applications. The ideal candidates will have a PhD in electrical engineering, computer science, biomedical engineering, or mechanical engineering. Job functions will include setting up BCI rigs, interfacing with commercial partners, and developing algorithms for digital interfaces and robotic prostheses. If interested, please send a cover letter and CV to WillseyLab at austin.utexas.edu. We will begin contacting applicants in October. Together we can make this technology a reality! #BCI

A non-invasive BCI on the scalp, using EEG, empowers spinal cord injury individuals to control cursors in all directions!

Researchers recorded EEG signals from 64 standard electrode locations on participants' scalps. They detected the brain's electrical signals corresponding to users' intentions!

Can you test the relaxation effect on the EEG signals watching this view? 😁