By popular demand, I am finally getting around to launch a udemy beginner course: A step by step guide on setting up, collecting, analyzing, and visualizing EEG data via Emotiv EPOC neuroheadset and EEGLAB MATLAB combo for analysis.

Whether you are a student, a teacher/professor, or someone purely interested in learning new techniques, this course will come in handy if you are interested in learning how to collect, process, and visualize EEG raw data, using Emotiv EPOC neuroheadset and EEGLAB Matlab compiled version.

During my thesis data-collection phase I spent thousands of hours reading and learning through endless numbers of forums, manuals, articles, etc to figure out how to set up my own EEG laboratories with my low self-funded budget.

During my graduated studies, I posted a few blog posts to share with other students and realized that many were facing the same challenges. Hence, once graduated, I decided to share how I set up my own low budget EEG laboratories and how I did the data collection, processing, and visualization, using Emotiv neuroheadset and EEGLAB.

I ended up first publishing the volume guide as an eBook and then in paperback format upon request. Most recently, I was asked if i could publish an online course as well.

At the moment, I am in the process of creating an online Udemy course, which will include videos and writings. I’ll share the udemy course link as soon as published.

To help the community, I’ll provide 25% discount code to anyone interested and in need. Thanks!

Ever wondered the difference between EEG and LFP in collecting and analyzing neural oscillations, a.k.a brainwaves? Here is a quick video to explain what they are, how they differ, and when they are useful measurements:

Below is a high level summary of my WIP book coming up next ⚠️ I might change the book title. Anyone interested in the topic or have lit review suggestions to add or any other feedback please let me know. #eeg #neuralnetworks #cnn #neuroscience #student #postdoctoral

Work my own.

Disclaimer: All work/ideas shared on my personal social media channels are my own and are independent of any institution and.or industry.

Science is a never-ending exploration and evolution of thoughts and ideas. The first time that I ever publicly talked about exploring opportunities around neural oscillations in neural networks was ~2012. While it is taking longer than anticipated, the exploration continues.

This video covers a high level discussion about one way in which EEGs (a.k.a brainwaves/neural oscillations) can be used as a data input in convolutional neural networks to help read sentiments/expressions. I also briefly talk about Deepface (a “lightweight face recognition and facial attribute analysis – age, gender, emotion and race – framework for python. It is a hybrid face recognition framework wrapping state-of-the-art models: VGG-Face, Google FaceNet, OpenFace, Facebook DeepFace, DeepID, ArcFace, Dlib and SFace.”) to hone in on the capabilities of existing neural network models that can read facial images.

While Deepface can help read facial images, we can now use the same models, such as convolutional neural networks, to read brainwave images using the same types of architecture. In that sense, we are expanding our capabilities from facial to brain images. Exploring these technologies hold great future and if you are a student, and interested in these topics, I highly recommend exploring this space.

Below is an example of an EEG spectrogram. Image source: https://www.researchgate.net/figure/Illustrative-electroencephalogram-EEG-spectrogram-of-a-healthy-volunteer-during_fig1_317590199

I have no idea how this happened but just got notified that my book landed on the ‘Amazon Hot New Releases’ page in the Computer & Technology Education category!

Feeling extremely grateful, especially during these tough times in the world! #amazon #eeg #deeplearning #ai #ml #dl #neuroscience