Neurosity crown for sale
I have a used neurosity crown for sale with everything that came with it. Selling for a low price hmu for questions
I have a used neurosity crown for sale with everything that came with it. Selling for a low price hmu for questions
compsci student in college dream is to build a neural interface
probably interested in closed loop bci
still getting used to some concepts like eeg and erp
where can I read about these related papers? the recent ones and not 8-10years ago
Let's say a video game company worked with a BCI company (Brain Computer Interface). And they combined their powers to create a game where you insert a computer chip into your skull (minimally invasive but it does require some stiches right at the top of your spine.) But it gives you Full Dive VR into a variaty of very popular games. It's passed FDA checks *, and is currently in beta phase, and so far the reveiws say it's amazing and just like you close your eyes in real life and you open them in the game world with all your powers.
Would you join the beta?
Hello VR collegies, I’m Ildar from PiEEG. My friend and I have been building a mask hardware module that tracks facial expressions and emotional data to drive VR avatars in real time.
We’re putting together a virtual session in Linkedin event soon to break down the technical side of the project for anyone interested. We’ll be covering:
Since sub rules on links vary, I’m not posting any direct links here to avoid spam filters. If you’re interested in joining or checking out the tech, just leave a comment and I’ll send you the link directly or drop it below!
Hi,
BCI has always been a research topic for now, but is there any use case where users are willing to pay for non invasive bci devices? usage for meditation and focus, doesn’t seem to be a big use case for consumers to pay, so what other use cases are viable for people to buy and use it.
This seems like a good place to put this.
Market map and taxonomy
The complete working map contains 51 names: 28 core Swiss neurotechnology companies, 19 adjacent companies and 4 borderline names.
The count is deliberately broader than just BCIs or neuromodulation. Core means direct neural recording, interpretation, stimulation, modulation, repair, restoration or specialist neurological measurement. Adjacent covers rehabilitation robotics, surgical technology, movement sensing and other businesses close enough to the nervous system that leaving them out would give a pretty incomplete picture. Borderline is exactly what it sounds like: companies I think are relevant to the market, but where the technology, use case or Swiss footprint sits just outside the tighter definition.
A couple of important caveats. Aleva Neurotherapeutics remains on the map because it is part of the Swiss neurotech story and got a directional DBS system all the way through CE marking and into the market, but the Lausanne court approved a composition agreement with its unsecured creditors in June 2024. Dandelion Science has a meaningful Geneva connection but a US-Swiss footprint rather than a clean Swiss headquarters story.
The map uses representative city clusters rather than trying to pin all fifty-one companies individually. The full taxonomy is below.
Core neurotech companies (28)
3Brain
ABILITY Neurotech
Aleva Neurotherapeutics
BEE Medic
Bottneuro
Braincredible
BrainQuant
BrainScape Medical
Comphya
dEEGtal
DeepPsy
FinalSpark
HBImed
IDUN Technologies
Infera Neuro
Luciole Medical
machineMD
MaxWell Biosystems
MindMaze
MYNERVA
NeuroGyn
Neurosoft Bioelectronics
Optohive
Positrigo
SaisiR
SensArs
Skaaltec
Xana, Smart Neurostimulation
Adjacent neurotech companies (19)
Altoida
Artiria Medical
Bearmind
Clee Medical
Dividat
Emovo Care
Gondola Medical Technologies
Hocoma
Intento
Lambda Health System
Magnes
MindMetrix
MYOLINK
Nanoflex Robotics
neurodAIgnostics
Reha Technology
Rhovica Neuroimaging
SurgeonsLab
TWIICE
Borderline (4)
Bewe, formerly Neuria
BRNLIT.AI
Connectome Health
Dandelion Science
Of the twenty-eight core names, five are enabling suppliers rather than clinical products, eight haven’t reached a person yet, fourteen have technology in humans in some form and six have products in clinical use. DeepPsy is already reimbursed through Swiss basic health insurance.
There is also a fairly obvious geographic pattern once everything is on one sheet. Geneva repeatedly leads back to Campus Biotech, the Wyss Center and HUG. Lausanne leads back to EPFL and CHUV. Zurich leads back to ETH. Bern and Basel add smaller specialist groups around diagnostics, surgery and stimulation.
You can get from Geneva to Zurich by train in less than three hours. In the US these would probably be separate ecosystems. In Switzerland they’re stops on the same train.
The full article goes into the companies, who is actually in humans, the Swiss investor landscape and why the country seems unusually good at getting difficult neuroscience through the awkward bit between a paper and a patient.
https://theneurotechnewsletter.substack.com/p/neurotech-in-switzerland
As always, corrections and companies I’ve missed are very welcome.
I just thought people might enjoy watching this. I am ready for servitors, honestly.
The paper (full video of the brain-piano-bot is in supplemental)
Unsupervised sensory-motor associative learning by human brain explant in-a-dish enables movement imitation by robot
I’ve tried consumer EEG devices such as Emotiv and NeuroSky. The brain data is interesting, but the devices can be uncomfortable, and I’m still unsure what practical value the information provides.
With a Fitbit, WHOOP, or Oura Ring, the data can influence decisions such as when to rest, exercise, or sleep. Has EEG helped you make similar decisions about when to do focused work, take a break, or change your routine?
It is the EEG headset he uses in his “Using Mind Control to Drive a Car” video. I have been trying to n to find it online for SO long and I can’t find anything similar. Literally either this or any other EEG headset you can buy where you can code it to do what you want.
I’m interested in how modern decoding architectures should distinguish genuinely transferable neural representations from session-specific covariance structure. In particular, how well do approaches such as latent-state models, manifold alignment, contrastive learning, and self-supervised pretraining address nonstationarity, dimensionality reduction, and cross-subject variability without discarding behaviorally relevant information?
This week its Neurotech in the Uk. A full map, shit loads of start ups, loads of amazing tech. The complete working map contains 74 active organisations: 45 core neurotechnology companies, 12 enabling businesses and 17 adjacent organisations. Galvani Bioelectronics is listed separately as a historical cautionary case and is not included in the active total. The list uses current principal UK operating bases where those are public, and every company name links to its official source.
[https://www.reddit.com/user/NeurotechNewsletter/comments/1visjqk/neurotech\_in\_the\_uk/]
Came across Ildar Rakhmatulin’s work recently and wanted to share it here. He started PiEEG as a personal project because he couldn’t find affordable EEG hardware, open sourced it, and it kind of grew from there.
Check it out if you’re into open source BCI or consumer-grade EEG hardware.