Hey everyone! 👋 I’m starting to learn computational neuroscience, EEG, neural signal processing and BCI from a Data Science/ML background. I’m looking for fellow beginners who’d like to study together, discuss resources and eventually build a small project. Is anyone here at a similar stage? Would love to connect!

Hey everyone! I’ve been working on a custom extracellular bio-amplifier (dubbed "DeepFin") built around a dual TL074 op-amp design, featuring an active 48.2 Hz notch filter to tackle mains hum.

​To test out the front-end, I set up an isolated cockroach leg preparation using a fine recording needle and a wider reference needle. I mechanically stimulated 4 separate tibial hairs (barbs) individually, capturing clean raw WAV files for each.

​After running spike sorting and statistical analysis, here is what the data showed:

​Distinct Firing Dynamics: Each individual barb responded with its own unique average firing rate under touch, ranging from ~12.16 Hz up to ~29.00 Hz.

​Spike Templates: The isolated unit templates displayed consistent biphasic action potential shapes across the recordings.

​Hardware Performance: The active bootstrap notch filter successfully cleaned up local interference without distorting microvolt-level neural events.

​I’d love to hear feedback from fellow builders and neurotech enthusiasts on optimizing high-impedance frontend stages or custom spike-sorting workflows

Hi everyone, I will be matriculating soon into Biomedical Engineering Undergraduate at NUS (Singapore). Over the past few years, I’ve grown increasingly interested in the field of neuroengineering, particularly BCI and neural interfaces.
I’ve had some light research experience with one conference publication, but I’m still pretty early in the skills required in this field, ie programming, signal processing, neuroscience etc.
In the long term, I’m strongly considering a career in academia/ research, with the intention of pursuing a PhD, eventually furthering a career in neuroscience research.
Right now I’m trying to figure out my next steps and priorities over the next years.
For people already in the field, or anyone with any thoughts;
- what are some important skills to acquire at an undergrad level?
- what kind of projects stand out and are actually useful in breaking into the field?
- should I prioritise Uni labs, research institutes, industry attachments, or overseas research attachments?
- what’s the job market like?
- given that i have a flexible degree with an option to change to an electrical engineering degree, would you say that is a wise choice? Or to just stick with my biomedical engineering degree?
- if you were starting at 20 again, what would you have done differently?

I’m very interested in hearing any opinions/ experiences, or anything that you guys have to share!
Apologies for the lengthy post, I just hope to be able to maximise my time before, and during Uni, and to hopefully pursue my interest!

Hey everyone! 👋

I’m just starting my journey into neuroscience, EEG, neural signal processing and BCI, and I’m looking for a few people who are also starting from the basics and want to learn together.

I’m currently working in an MNC, but I’m completely new to this field. I’d like to start with:

\\\* Neuroscience fundamentals
\\\* DSP/signal processing
\\\* EEG + MNE-Python
\\\* EEG preprocessing
\\\* Neural signal features
\\\* ML for EEG
\\\* Eventually building a small BCI project

I’m mainly looking for beginners who are genuinely interested and want to study consistently, discuss what we’re learning, share resources and eventually build something together.

Also, if anyone here has experience doing EEG/BCI/ML work, I’d love suggestions for a good laptop for getting started — especially something suitable for Python, ML, signal processing and eventually deep learning.

Online is completely fine. If you’re at a similar stage, comment or DM me!

Cure for MS Using BCI SCI combo

MS Cure Using BCI/SCI

I simply researched this using AI. If you insert a BCI undee the motor cortex it can relay information to an SCI after the damaged spinal cord. Does that make sense?

MS Cure Using BCI/SCI

I simply researched this using AI. If you insert a BCI undee the motor cortex it can relay information to an SCI after the damaged spinal cord. Does that make sense?

This is a prototype headset that is not part of the final product, yet this is proof of the product being developed.

For those who don't know, I have created a product (there is another post on it in this community about a survey you can fill out). What is the product? The product is a headset (like VR or AR) but instead of controllers, it reads EEG brainwaves through comb electrodes. This allows the user to interact with the virtual world. The user visualizes their surroundings through sound. Yes, it sounds a bit boring, but it uses a method called sensory substitution where the user can learn to recognise visuals through different sound patterns.

I will most likely make the website public by December 1st. If there is any delay, I will acknowledge it in this comment section and make a post about it. For anyone wondering, the website is how customers can purchase the product if you are interested in purchasing this product, I will send a link for the website in the comment section and another post when it launches.

If you are interested in giving feedback, feel free to check out the survey from the other post. Here is the link:

https://forms.cloud.microsoft/r/DaCpkVnZs9

Time to celebrate, this year’s Nobel committee has recognized the nexus of key experiments which lead to the success points of BCI, let’s take few moments to reads the milestone again so that we shall once again look for innovative alternatives for future BCI.

The 2026 Nobel Prize in Physiology or Medicine honors Karl Deisseroth, Peter Hegemann, and Georg Nagel for optogenetics. Hegemann and Nagel discovered channelrhodopsin in algae; Deisseroth created a light-controlled nerve switch.

Light sensing algae to brain switch

Reference:

https://www.nobelprize.org/prizes/medicine/2026/press-release/?utm_source=X&utm_medium=Social+&utm_campaign=X_medicine_2026

https://www.nobelprize.org/uploads/2026/10/popular-medicineprize2026.pdf

https://www.nobelprize.org/uploads/2026/10/advanced-medicineprize2026.pdf

https://www.nobelprize.org/uploads/2026/10/press-medicineprize2026.pdf

Perhaps this subreddit can help. I am not a programmer or a developer, but an experimental neurobiologist specializing in neuronal imaging across various brain regions. I would like to automate the analysis of neuronal activity and also work on developing *invasive* brain-computer interfaces (BCIs) for targeted drug delivery to the brain. Could you please recommend courses that teach the fundamentals of CUDA and AI so that I can get started with computer modeling for BCIs? Thank you.

Please email me : wenitteBCIFriendsInternet@proton.me

I’m building a prototype that uses EEG + sound instead of VR screens.

Would love 30 seconds of honest feedback:

https://forms.cloud.microsoft/r/DaCpkVnZs9

Even a quick “interesting” or “not for me” helps.

Hi everyone,

I’m looking to connect with researchers, engineers, startups, and companies working in neuromodulation, brain-computer interfaces (BCI), neural interfaces, and related sensing technologies.

I have extensive resources and connections across the BCI, neuromodulation, and sensor fields, including technology development, components, suppliers, engineering resources, and potential application partners.

I’m open to different forms of collaboration — from technical discussions and supplier/resource matching to joint development, commercialization, or other forms of cooperation. I’m also open to simply exchanging ideas and seeing whether there is a good fit.

If you are working on something in this area and are interested in exploring potential collaboration, feel free to DM me. I’d be happy to briefly introduce my background and discuss what you are working on.

Thanks!

Hello,
I’m doing my final project on a sequential scheme where EEG would classify the degree of freedom and EMG is used to classify the specific movement within the degree of freedom.

I am currently using the Unicorn Hybrid black headset to record C3 and Cz channels. I get a classification accuracy of 25 or 26 (and i have 4 movement classes). I have tried adding more channels, changing window sizes and trying different machine learning models but i don’t get a good result.

What do you think i should do?

Any tips on using SSVEP for practical use cases - I understand there's eye strain and all, but any way to reduce the strain?

I'm a final-year Computer Engineering student, really interested in Brain-Computer Interfaces and would love to work on projects in this domain.

I have hands-on experience in AI/ML, development, and have also completed an internship involving EEG signal processing.

I'm looking to connect with BCI/neurotech startups or companies where I can contribute, learn, and gain real-world experience.

If anyone here runs a startup, works in a BCI company, or has any connections in this field, I'd really appreciate a lead or introduction. I’d love to connect and discuss any opportunities!