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Joined 3 years ago
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Cake day: June 20th, 2023

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  • If you’re working on a budget like I was when starting out on my own, I recommend your first purchase to be a bed frame. You can use Ceaigslist / FB marketplace to find some really cheap used options. From there, you can start buying (used) furniture that matches the bed frame. Personally, I needed a nightstand immediately after the bed frame because I wanted to put my glasses somewhere.


  • Oh hey, another BCI startup. This one seems promising. I published in the field so I’m happy to answer questions.

    I did some digging over my morning coffee and couldn’t find any more details about the AI features. If I had to guess they might have a machine learning algorithm which helps decode brain signals. The company website seemed more geared towards creating a platform for EEG research and didn’t mention the AI at all? I may have missed it in my quick review.

    I’m less familiar with visual evoked potentials, but they should be a lot easier to read than other neural signals. This is a big plus because it means the device tolerates more noise. I’m curious if it’s reliable enough to function in the “real world” - some EEGs are so sensitive that they even pick up electrical noise from wires in the walls. You can post process some, but not all, of the noise from your environment.

    I’ve felt the real BCI future is with functional near infrared devices but I’m yet to see a breakthrough into commercial devices.


  • Pharmaceuticals in the US. Fairly early in my career, get paid just short of $100k/year. All it took was getting a doctorate and selling a little bit of my soul.

    Sometimes I miss academic research. But at the end of the day I’m getting paid about 4x as much while working 1/2 the hours, by my estimate I’m 8x as happy now. Plus, there’s something to be said for working on projects that actually affect people’s lives instead of overstating the impacts of my research to compete for a dwindling pool of federal grants. Seeing the policy changes in the US this year, I’m very glad I left academia but I’m not convinced I’m 100% safe from changes made at the FDA.








  • The article describes the review process - you’re right, these words just flag a paper for further review. I wonder if it’s an automatic flagging system like you suggested.

    However, it took me almost a decade of rigorous training to understand my research. I sure as hell don’t trust an elected or appointed official with a political vendetta to critically read my grants. Leave politics out of peer review.

    This is still an emergency situation, IMHO. Like you said, people’s grants are being canceled. I see this as a direct attack against higher education.

    ETA: It’s also a waste of taxpayer money. These grants are already competing for meager funds. Why should we siphon away any resources to “investigate” them?



  • Here’s a quick off-the-cuff list of neuroscience domains, not part of Diversity, Equity, and Inclusion, that will be impacted by this censorship. This is not an exhaustive list, it’s just what I thought of after thinking critically for 10 minutes.

    It goes without saying this practice is evil and reprehensible. No academic domain should be politically targeted. But it reaches more than their targets. It is dangerous. It is unscientific. It is book-burning. Contact your representatives. Take action. Donate to good causes.

    Patient advocacy for people who have had a stroke, or have dementia, or have any number of disabilities, hereditary or acquired.

    Any research about the blood brain barrier, including development of drugs that can cross it more efficiently.

    Any research about the placental barrier, including development of safe medications for birthing people.

    Research into cognitive bias.

    Development of statistics (including Bayesian, the hot frontier), machine learning (that’s AI for anyone who prefers that term), where the term bias is used to talk about parameters and model performance.

    Basic visual and auditory science, where we talk about visual and auditory discrimination.

    Sex differences research- this isn’t just a social issue, we don’t understand how differences in metabolism impact drug metabolism. Can’t have female mice anymore, apparently.

    Basic research in the function of neurons, which polarize, depolarize, hyperpolarize, etc.

    Concussion research and, again, stroke research. The field is broadly known as traumatic brain injury.








  • See Alk’s comment above, I touched on medical applications.

    As for commercial uses, I see very few. These devices are so invasive, I doubt they could be approved for commercial use.

    I think the future of Brain Computer Interfacing lies in Functional Near Infrared Spectroscopy (FNIRS). Basically, it uses the same infrared technology as a pulse oximeter to measure changes in blood flow in your brain. Since it uses light (instead of electricity or magnetism) to measure the brain, it’s resistant to basically all the noise endemic to EEG and MRI. It’s also 100% portable. But, the spatial resolution is pretty low.

    HOWEVER, the signals have such high temporal resolution. With a strong enough machine learning algorithm, I wonder if someone could interpret the signal well enough for commercial applications. I saw this first-hand in my PhD - one of our lab techs wrote an algorithm that could read as little as 500ms of data and reasonably predict whether the participant was reading a grammatically simple or complex sentence.

    It didn’t get published, sadly, due to lab politics. And, honestly, I don’t have 100% faith in the code he used. But I can’t help but wonder.