In today’s world, we don’t have to break the bank if we want to have our own brainwaves lab. We have much more research on the physical brain in comparison to the non-physical brain (brain frequencies). So if you’re passionate about brain frequencies, here’s how you can build your own lab under $1000 USD.
Here’s my recent book on using Emotiv EPOC neuroheadset and EEGLAB (MATLAB) to help build your own lab:
Feedback welcome. I have no affiliation with Emotiv or EEGLAB.
In today’s world, we don’t have to break the bank if we want to have our own brainwaves lab. We have much more research on the physical brain in comparison to the non-physical brain (brain frequencies). So if you’re passionate about brain frequencies, here’s how you can build your own lab under $1000 USD.
Last year, I started a passion side project, playing around with electronic music and ended up composing a few tracks aimed at using music to guide brainwaves towards specific brain frequencies. These specific brain frequencies were based on some of the findings of my thesis on information/knowledge search.
A few days ago I shared a link to one of these tracks on Neuromatch Academy discord channel and a few students asked for details. So here is a summary video and a quick writeup:
The Information Search Process (ISP) Model is one of the most cited theoretical frameworks in the field of information science, as it identifies the affective, the cognitive, and the physical realms when we search for information over the span of six stages that include feelings, thoughts, and actions for each stage. Table below illustrated the ISP model (Kuhlthau, 1991).
My thesis, among other goals, aimed at examining, discovering, and mapping the brain frequencies of the ISP model (exploration, formulation, collection) and connected these as seen below:
Looking closer at the ISP model, it becomes quite clear that the collection stage includes a sense of direction and confidence. If we assume that the results of my thesis somewhat represents the brainwaves of the ISP model, then we can assume that, on average, the brainwaves during the collection stage are lower beta and higher alpha bands around the upper left quadrant of the brain.
Based on the above assumption, I thought to myself what if we could compose tracks that helped put the brain within that frequency range and around that part of the scalp. This is important mainly because the collection stage is a stage where users appear to feel the most positive and most purpose.
Hence, I attempted to compose a track to do just that and called it Purpose. Obviously, this track does not put the listener’s mind in those frequency all the time but it does most of the time. At least that is what my tests with my neuroheadset (on myself and others) showed.
And here is a sample of the track. If you have a neuroheadset and can test your brainwaves while listening to this track, I would love to hear from you! Please let me know. Thanks 🙂
Preorder launched a second book!! I’m overwhelmed by the support received from the @neuromatch students & #EEGLAB community who offered to help me improve the content & giving feedback. Preorder up on #Amazon. Release date July 23, 2021.
Summary of the book:
This eBook covers a step-by-step guide on the mechanics of setting up, collecting, processing, and visualizing raw EEG data (brainwaves) using Emotiv EPOC neuroheadset series with the EEGLAB MATLAB compiled environment open-source software. The step-by-step guide covered in this eBook covers the basic mechanics and is not about complex or one-off EEG cases.
This volume is ideal for people who want to get into EEG research, using Emotiv & EEGLAB, but do not know how to start. This guide should work well with all of the EPOC neuroheadset series; the EPOC, EPOC+, as well as EPOCx neuroheadsets. Whether you are a researcher, practitioner, or simply interested in the human brain, you will find it useful to study brainwaves primarily because brain frequencies tend to tell us how humans respond to stimuli at the neurological level.
EEG data (brain frequencies or brainwaves) has several benefits compared to other imaging techniques or pure behavioral observations. This volume is the type of step-by-step guide that I wished I had when I was doing my grad studies. If you are interested in human brainwaves and want to learn one particular way of collecting and analyzing raw brain frequencies (EEG data), this volume is for you!
By the end of this eBook, you will feel confident and uplifted enough to autonomously collect, analyze, and visualize raw brainwaves (EEG data). You will also feel confident to expand on the scope of this volume and showcase your EEG data analysis.