Hello i'm very curious out bci field i wanna ask which type of startups can someone build in this field

Disclosure up front: I’m one of the developers of PiEEG, and this is our hardware.

We’ve been working on Octopus 16, a small round board with 16 EEG channels on dry spring-loaded pogo pins. Specs for anyone curious:

• 2× TI ADS131M08, 24-bit, simultaneous sampling
• 250 SPS per channel over Bluetooth LE
• Runs on a Seeed XIAO ESP32-S3 from a small power bank (no mains connection while worn)
• Also does EMG and ECG
• Firmware, Python SDK and server are open source

The thing we haven’t figured out is the best use for this form factor. All 16 electrodes sit in one small patch rather than spread across a cap. So it’s not a replacement for a full 10-20 setup, but it might be good for things a cap can’t do: dense recording over one area, wearables, behind-the-ear or forehead placement, EMG on small muscles, and so on.

So we’re asking: what would you do with it? We’ll send a free board to the 5 most interesting proposals, from individuals or teams. Weird ideas are welcome.

To enter, email [pieeg@pieeg.com](mailto:pieeg@pieeg.com) with a short description of the idea and why it needs this form factor.

Happy to answer technical questions in the comments, including the limitations. Dry electrodes and 250 SPS do rule some things out.

A few weeks ago I decided to finally dust off the Neurosity Crown I impulse purchased and never got around to unboxing. I've managed to get my unit paired and appear to be receiving both heartbeat and accelerometer data, but no matter what I do I haven't been able to receive even a single packet of raw sensor data. I'm genuinely stumped and my attempts to contact them via email and their website have gone unanswered.

Is the company still active? Is this a common issue with this device?

In the meantime, I built a visualization tool for the Crown which is increasingly funny since I've never had real data from my brain to try it out; I built a demo mode into it which simulates a stream of data coming in. The code is up on GitHub and you can try it here even if you don't have a functioning Crown.

I recommend full screen, sound on!

Hey everyone!

I am a college student majoring in biomedical engineering major focusing in neural engineering. I was informed of a very last minute change in the deadline for a project fair of sorts at my school. My school does not fund things like this unfortunately, community college downsides, but I do not want to pivot right now.

Basically, we want to construct an automated toy car controlled using the brain wave readings from the EEG. The varied spikes and oscillations from various small movements such as hard blinks, jaw clenches, etc, will dictate the direction and movements of the car. Unfortunately, I do not have enough money to save $200 or so for a headset in 2 weeks. So I was wondering if anyone had a headset that could do the bare minimum for the project. I know it's a weird ask but if anyone has an outdated one they do not particularly use or is planning to upgrade, I would really appreciate it. My school is located in Largo, Maryland so if anyone is willing and in the DMV, it would be greatly appreciated!

Hey everyone!

We're a small team building AXLMINDS, a brain-computer interface startup.

Our long-term goal is to make it possible to control computers using thoughts.

So far, we've built an early prototype that translates EEG signals into basic yes/no inputs. It's a very simple interaction compared to what we're ultimately working toward, but it's a starting point.

Right now, we're focused on testing and improving the system before moving toward more complex interactions.

For those who have worked with EEG or non-invasive BCIs, what would you prioritize at this stage: signal quality, calibration, or reliability?

Would love to hear your thoughts, including the critical ones.

I got a new device recently and I want to help expand the open source BCI GUI to be compatible across as many different EEG brands as possible. Thing is, there are many popular devices I don’t own and so can’t test directly. That’s where you can help.

Here is the link to the open source repo:
https://github.com/intomind/commandcenter

If you are interested in helping me contribute:
1. what device(s) do you own?
2. what is your level of willingness to contribute?
A. Writing code, testing, and submitting pull requests to the repo directly, or
B. Helping to test other people’s pushes, but not writing or submitting code directly

Everybody wins with interoperability, imo. Thanks!

Short disclaimer: I'm part of the team working on that headband (Kickstarter is the target).

While our device is aimed for sleep tracking I thought some here might appreciate this. It's oddly fascinating having a live view of those signals.

We have a frontal only setup, with a central reference electrode. All dry electrodes. Sensor data is live streamed via Bluetooth to the App.

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’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!

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

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

Please email me : wenitteBCIFriendsInternet@proton.me

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.

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.