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From the information that they've published (paywalled article excluded of course) it does not seem like they're going for anything necessarily novel or niche-f

From the information that they've published (paywalled article excluded of course) it does not seem like they're going for anything necessarily novel or niche-filling, more just making another option. That's not necessarily a bad thing, as (coming from someone who works in BCI) more tech is always welcome, even if it's in what I and most other people I talk to consider a dead-end technology (EEG). Also funny you bring up the Muse, as I actually worked there a few years back. The Muse 2 is a reasonable increase in signal fidelity though with a tradeoff in that it has more issues in adverse environmental conditions (sweat etc). The main difference between the generations is in usability on the consumer end, which is the target market for the device. It was never intended to be a research tool, and it excludes many of the important electrode locations for research. For that reason, calling it a toy is roughly accurate in my opinion.

jawzz 5y ago
As a graduating senior in CS who is super interested in working in BCI, may I ask how you got into the field? I would love to work somewhere like Neuralink but it seems that most of these companies are not hiring new grads (understandably, perhaps). I might just get this or openbci and do a project on my own, to start.
- dr_dshiv 5y ago
  Learn EEGLAB in Matlab, using existing online EEG datasets. Don’t collect your own, not worth it. Join the EEGLAB list. Figure out how to use some machine learning classification algorithms on the datasets. (There are walk through). Do something cool and share. Then use their devices.
  - jawzz 5y ago
    That makes a lot of sense, thank you so much for the advice.
- Cyclical 5y ago
  Id you're interested in working with EEG, the advice of the other poster is worthwhile. I've transitioned away from EEG as I don't believe it's a future-proof technology. I got into the field through a series of lucky internships during university and a whole lot of networking got my resume into Neuralink before the destealthing last year. My advice is to apply everywhere you can, be passionate, and reach out to people. There are more opportunities out there than you think.
ildaron_ron 5y ago
in the initial version of the article, there was information about an additional board with 8 sensors, but that information had to be deleted (editors)

jawzz 5y ago

As a graduating senior in CS who is super interested in working in BCI, may I ask how you got into the field? I would love to work somewhere like Neuralink but it seems that most of these companies are not hiring new grads (understandably, perhaps). I might just get this or openbci and do a project on my own, to start.

dr_dshiv 5y ago
Learn EEGLAB in Matlab, using existing online EEG datasets. Don’t collect your own, not worth it. Join the EEGLAB list. Figure out how to use some machine learning classification algorithms on the datasets. (There are walk through). Do something cool and share. Then use their devices.
- jawzz 5y ago
  That makes a lot of sense, thank you so much for the advice.
Cyclical 5y ago
Id you're interested in working with EEG, the advice of the other poster is worthwhile. I've transitioned away from EEG as I don't believe it's a future-proof technology. I got into the field through a series of lucky internships during university and a whole lot of networking got my resume into Neuralink before the destealthing last year. My advice is to apply everywhere you can, be passionate, and reach out to people. There are more opportunities out there than you think.

ildaron_ron 5y ago

in the initial version of the article, there was information about an additional board with 8 sensors, but that information had to be deleted (editors)