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Posts tagged “learning

The first in-person meeting

Well today we met as a lab for the first time since the pandemic hit in person. I wasn’t a fan, still am not a fan, but didn’t get a choice in the matter so I went. Thankfully everyone was masked and agreed that it was probably for the best since in my case specifically, I work with a very vulnerable population. It was nice to see everyone, but it was mostly a waste of time, mostly.

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Meetings and more meetings

Today was going to be about my meeting yesterday with my Co-PI, buuuut it turns out that I have even more news than that! How did that happen? Well I got an email from my main-PI asking me about my plans for the summer, when I wanted to finish the long, horrible, project I’ve been trying to work through, and more importantly, my funding situation. After some emailing back and forth things are looking dare I say good?

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So I shot myself in the foot

Ever say something dumb and immediately regret it? Yeah I made a huge mistake and ended up giving myself a ton of work for no reason. Well there was a reason, it just wasn’t needed. I don’t know why I do this to myself, but the good news is I got the work done. Okay, fine I’ll explain, it’s not a long story, but it is a funny one (at least now that the work is finished). It’s also a good reminder to never do that one again.

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The transition to summer

Well it’s official, my grades are in. Okay not “official” exactly, but they posted to the class website and I passed, obviously. In hindsight it’s funny because I was constantly worried about how well I would do in the class, especially with this project being worth so much, but I managed to get 100% in the class, so there’s that. Now I am statistics and it bends to my will! That would be a super power for sure, even though the class was a pain, I’m glad I took it. Now I make the slow transition to summer. It’s slow because it doesn’t happen all at once, but I’m excited.

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Data mysteries

Data processing, it’s mind numbing sometimes. I guess it depends on the dataset you’re working on, but in this case it’s just a formatting thing. Literally copy, paste, rearrange, things like that. The issue is the volume of data you’re working with. The whole thing can take hours just to get done properly, but with any luck you’ll only have to do it the once. Most of the time I’m not that lucky, the last dataset I worked with for my Co-PI I reformatted five or six different times. While that isn’t the topic of the day, it’s a good way to start the conversation of the day.

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Journal paper update

With all the things going on I never got the chance to talk about some non-class news. The downside is it’s not good news, but on the scale of horrible things to happen recently it’s not that bad. Back in February I submitted a paper for journal publication and we got rejected. Not great news, but the reviewers were not super critical and with some minor changes we should be able to resubmit it. I figure today we can go over the stuff that needs to happen now since I’m the first author.

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The end of the term

Time to catch up on my reading… eventually.

It looks like I survived. Another term down and one step closer to the finish line. It’s not quite the clean victory I was hoping for, but after yesterday I now no longer have any class requirements for my PhD. The only requirements I have now are with my dissertation, so now I can focus on that work exclusively. I’m not going to lie it feels pretty good. Since the end of the term isn’t as clean cut as I was hoping for. I figured today we can look at the leftovers from the past week of panic. We might as well after the week I had!

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Major milestone 3 (of 3)

I’m exhausted. Let’s just get that out of the way. I don’t think I’ve ever had so much work to get done in my life. No, scratch that I know I’ve never had this much work to do in such little time in my life. My eyes feel like they are about to bleed and I’m afraid if I turn my head to the side my brain will leak out my ears. The end of the term is usually an academic marathon, but this is ridiculous. It’s just been deadlines left and right. Anyway today is the end of the next set of major milestones, it’s not the victory I was hoping for, but I’m hoping rest will not be too far behind.

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Time for the big finish

Well call me a wizard because not only did I somehow manage to get everything done yesterday that NEEDED to happen, I also somehow managed to make more work for myself. Yeah, the universe hates it when I’m productive apparently. I’m tipping the balance and that’s never a good thing. But seriously, I now have more work to do and a lot of it is due tomorrow. Don’t worry, I’ll explain. Later I’ll probably cry about it too. (not serious) (super serious)

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Major milestone 2 (of 3)

Can’t stop now. We’re at what I’m calling major milestone 2 of 3. Yep, yet another batch of stuff is due today. I’m not super thrilled with all this and I still have so much to do before Friday I want to scream. As with major milestone 1 (here), we’re going over what I have done (spoiler not enough), what I need to do (a whole lot), and the plan to get it finished (cry for a few hours). Let’s just dive into it since there isn’t a whole lot of time (for me anyway).

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Major milestone 1 (of 3)

The good news, like it or not today I will have less work to do! The bad news is that I’m sort of up against the wire here. As promised, it’s all deadlines all the time for the next week. While this may not be the most useful or exciting read, it certainly is going to be a dramatic finish (see: train wreak). Today for simplicity since there’s so much to do and literally only days to do it, let’s go over what I have to do today and exactly where I am in all of that work. Spoiler, it’s not looking pretty.

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On the importance of milestones

We’re counting down the days and there’s still so much to do. It’s probably going to be updates from here to the finish line because let’s face it, there’s not much time for anything else! Since yesterday I talked about the importance of planning and why it’s good to lay things out, I figure today I’ll talk about the importance of milestones since I have about a dozen or so I need to hit! For the sake of time, let’s just dive right in.

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The thing about deadlines

Man pressed against glass in office. The entire office is full of papers pressing against him. He's drowning in work.

It’s no secret I’m running around trying to finish everything I need to do lately. Deadlines for just about everything all fall within a few days of each other. I literally have a about a dozen things all due next week plus or minus two days. I’ve been trying to remain calm and remind myself that I’ve been in this situation before and it always works out in the end. That doesn’t stop me from stressing out and yesterday I got an email that could derail a lot of the planning I’ve been doing to make certain that all the work gets taken care of. Yep, I got another job to do.

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Learning can be painful

Well today was the final lab meeting of the term. While the weekly meetings will (probably) be continuing, it’s still a big deal and could (hopefully) mean the end of my six weeks or so of torment. Normally I give it a few days before I talk about just how badly the meeting went, but this time was different and I’m thankful for it. The difference? My main-PI was out for medical reasons, so we got to talk about the project a little more freely.

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Apparently I’m close?!

We’re talking about it again, the fact that every week for the past 5 weeks now I’ve been given tasks to do and then presenting on them the following week. It’s been… hard. However, my main-PI gave me hope that the end of all this is close, at least that’s the hope. He said I was close, so today we’re going to talk (as usual vaguely) about what I have left to do before this weeks meeting and why I cannot wait to be done with this.

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When you don’t want to say no

In undergrad I had a discussion with my advisor, or rather he was more of a mentor, he wasn’t technically an advisor. It went something like this, I don’t know what to do next because it all seems so interesting. He argued that it was a good problem to have and while I have generally narrowed down my focus (I am doing a PhD after all), I still have an issue with focusing my excitement. It’s like being at Disneyland and trying to force yourself to go on just a single ride your entire trip. I don’t wanna, I want all the knowledge!

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Journal club

Okay, get this I completely skipped over the fact that my Co-PI started a “journal club” for our little lab. I say little because for the longest time it was just the two of us and the research coordinator (who is amazing by the way!), but now we have not one, but two others in the lab. It’s nice not having to do a lot of extra work, but different topic for another time. We formed a journal club a short 8 weeks ago and every other week one of us sends out a research paper they find interesting about a week prior to our biweekly meetings and then that person presents on it. This week it’s my turn and of course, the universe is against me.

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Another week in review

A week ago exactly I gave a review of the week I had and a look at the week coming up. I thought it was so much fun I’m doing it again, because that’s what passes for fun around here. Who knows maybe I’ll do this regularly! Basically a lot has happened this week and now is a good time to catch everyone up on some of the oddball things I’ve done and things I may have missed in favor of freaking out about the work I’m doing. So let’s just jump into my semi-traditional introduction, then we can look back and ahead. It’s fun for everyone!

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I’m giving a talk!

Well I slipped through the cracks yet again! It hurts me to admit that I’ve probably earned this one. The 7th annual BRAIN initiative investigators meeting is coming (in June) and I was selected for a Trainee Highlight Award. Is it a big deal? Probably not, but I’ll take a win when I can get it. Today we’re going to dive into what exactly this means for me and why even little victories should be celebrated. Is it a little victory? I mean they did pick me, so what does that say about them?

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Everything went better than expected!

So yesterday I had my hands full with a bunch of work to do, no motivation what so ever to do it, and a deadline that was today. I didn’t want to burn myself out, especially since I still have a homework assignment due this weekend and yet another round of tasks set out before me, this time before the next week so that’s… umm terrifying. Let’s just dive into what happened today during my meeting.

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Mental health in academia

Five years, that’s the average time it takes to finish your PhD. Depending on who you are and how you think, that may be a blink of an eye or forever. I signed away four years of my life early on so five years and frankly the commitments leading up to it didn’t feel like that long at all. In a lot of ways getting a PhD is a lifetime of work and not long at all. I’ve hit the half way point roughly and I can see why so many people drop out of the program. It’s a lot.

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A week in review

I figure it’s a good time for the recap of the week. I mean there was a lot going on and while I want to spend some more time on my “in statistics” series, I also really need a break. So instead of spending a lot of time making sure the information I’m presenting is accurate, concise(ish), and (with luck) well thought out, I figure it would be easier to talk about the things I’ve had to do this week and the things I get to look forward to! Joy, welcome to life as a PhD candidate.

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Independence in statistics

A while back we introduced the central limit theorem, it was a way to take data and make it normal (gaussian) as if by magic, which is one of the assumptions needed for parametric statistics (the most commonly used kind). Today we’re introducing another assumption, that the data are independent. The idea of independent events is probably straightforward, but it’s yet another bedrock of statistics that we should talk about in depth to help us understand why things are the way they are.

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Variance in statistics

Sometimes you just want to kick a distribution right in the mean.

Variance, it’s one of those concepts that get’s explained briefly then you find yourself using it over and over. Now that I have a free moment, I figure it’s about time to revisit the “simple” concept and just take a minute to apricate why we have to deal with variance so often and why we try so hard to minimize it when we’re doing experiments. Just like the discussion about the mean, there’s some subtilty that goes into the idea of variance and it’s square root cousin standard deviation and we skip over it in favor of getting into more complex topics.

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Another approaching deadline!

Well it’s going to be down to the wire this week. It’s good to know we’re keeping the theme, if you’ve been following along for awhile you already know it’s always down to the wire. This week is particularly challenging because I have competing interests for the time I have. There’s only 24 hours in a day, so there’s only so much work that can get done. I would prefer to not do it at the last minute, but here we are… again.

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The long data processing road

Okay I’m taking another break from the “in statistics” posts, at least for today since the next topic is going to be a long multi-day post worth of stuff and I need an easier post for today. I have way too much stuff going on at the moment to organize a long post! In any case, I figure I could give an update to the data I’ve been working with and how that whole mess is going. It’s mind numbing and exhausting work, but not in the way you would think.

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One-tailed vs. two-tailed tests in statistics

Sit right back because we’re telling a troubling tale of tails full of trials, twists, and turns. The real question is, will we run out of words that start with t during this post? It will be tricky, but only time will tell. When do we use a two-tailed test vs. a one-tailed test and what do tails have to do with tests anyway? With a little thought, I think we can tackle the thorny topic. In short, let’s talk tails!

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The p-value in statistics

We’ve been dancing around the p-value for some time and gave it a good definition early on. The p-value is simply the probability that you’ve made a type one error, the lower the p-value the less chance you have of making a type one error, but you increase your probability that you’ll make a type two error (errors in statistics for more). However, just like with the mean, there’s more than meets the eye when it comes to the p-value so let’s go!

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The z-score in statistics

Okay, time to get back to statistics, if only for today! P-value, z-score, f-statistic, there are a lot of ways to get information about the sample of data you have. Of course, they all tell you something slightly different about the data and that information is useful when you know what the heck it is even trying to tell you. For that reason we’re diving into the z-score, it’s actually one of the more intuitive (to me anyway) measurements so let’s talk about it!

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Freedom of speech

I didn’t expect to have to talk this out, but here we are. Freedom of speech applies to the government, not private entities such as (but not limited to) twitter, facebook, schools, work, and basically any private place you congregate. Freedom of speech also does not mean freedom from consequences of that speech, you can’t talk about blowing up a school for example without consequences, even if it was a “joke.” More importantly, the government already ruled that certain hate speech isn’t protected. Why is this important? Well it’s a good reminder for the internet in general, but this time it’s a little closer to home reminder, namely the lab I work in.

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EEG cleaning progress

Yesterday’s coding work went better than expected! That may or may not bode will for the rest of the week, but hey at least I’m sort of ahead of schedule. Today I figure we can take a quick look at what I’ve been doing with the data and why. This will be part informative and part me complaining about how everything has to be so damned hard (basically the usual around here). Mostly it will just be some visuals of the things I’ve had to change to get everything looking like my main-PI wants, he’s got a particular style he likes so a lot of large text, bolded labels, etc.

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The juggling act

The middle colorful plot, it’s called a spectrogram and if you notice the colorbar to the right has values ranging up to 25,000, that’s not right…

Blogging and coding and writing, oh my! There’s a lot to get done, seems like a running theme around here doesn’t it? If it were possible to clear some of it off my plate it wouldn’t be so bad, but the sad truth is deadlines seem to like to group together and there are quite a few coming up. Most of them are for my class so I can’t really miss those even if I wanted to. My research deadlines I can’t really miss either, not without some consequences anyway. So we’re back to juggling everything, but as we’ve seen in the past, I’m pretty good at this.

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The new to-do list

It’s been busy! So busy I was trying to find time to write while working on the million other things I have going on. Since I have a moment, I thought now would be as good a time as any to go over the big list my main-PI gave me to do before next week. It’s a long, long, long list and as you may expect, he’s pretty far removed from the situation, so I don’t think he realizes how difficult it is to do what he’s asking, but we’re doing any anyway! Thankfully I’ve gotten pretty good at coding, the bad side is that it’s not my code I’m working with, so that’s the start of my struggles.

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Twice the work, half the… fun?

I work with… Braiiiiins!! Well yesterday I touched on an experiment I did waaaay back in October-ish of last year! With the way things are going it feels like five years not 5 months, but what can you do? My main-PI has started to not so gently or subtly push me to process the data to his satisfaction and start working on the publication of the results. There’s been a lot going on that has pulled me away from the project, from the end of December to the middle of February I was working on grants, but now there isn’t a whole lot stopping me from working on this project almost exclusively… if you don’t include the other grant I’m writing and the fellowship I’m supposed to apply for.

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A PhD proposal defense

Not mine, at least not yet. A colleague of mine is defending his PhD proposal today and while I was going to wait until I did mine to go over the details about how that works and why we do it, I figured today was as good a time as any to do it. Besides I probably (definitely) repeat myself a lot around here, but that’s the catch with blogging daily. So let’s get into what a proposal defense is and why it’s important, shall we?

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The mean in statistics

Yeah it seems simple, I mean (no pun intended) the mean is just the average! Yet as with so many different things in statistics there’s more to the mean than meets the eye! We’re going to go into why the mean is important, why it’s our best guess, why it may not always be your best option, and why we work so hard to find the mean sometimes! It seems simple, but I promise today we’re answering a lot of the big “why’s” in statistics, so let’s go!

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The ANOVA in statistics

Image from: Listening a great sci-fi movie (in my opinion)

Our mad scientist is back and this time they are not taking any chances! After statistical failure in the last example, they created not just one, but four mind control prototypes! We’ve been tasked with determining if they are working or face certain DOOOOOOOM! Sure, working for a mad scientist can be stressful, but we can do this… right? I’ve been dreading this post and you’ll see why, there’s a lot to cover before we solve the mystery, so let’s dive into it!

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The f-test in statistics

Yep, we’re getting right back into it. I’m still working out things from yesterday, so we can just talk more statistics. This will be an interesting one and hopefully it will be pretty straightforward. The f-test, which in this case is really the f-test to compare two variances. You may have guessed, but the t-test uses the t-distribution (sort of like the normal), well the f-test uses the f-distribution, which is nothing like the normal! Let’s dive in, shall we?

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First project deadline!

I didn’t have anything particularly lined up for today to add to the “in statistics” posts I’ve been doing, so today I thought it may be better to outline what I’m doing in the statistics course I’m taking. At the very least it may help me get it done, because as usual around here, the project is due… today. Yep, it’s yet another mad dash to the finish. Will I make it? Will I ever figure out what statistics is? Will I learn to stop asking questions in this format? Find out all this and more!

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Two populations in statistics

As a mad scientist, or maybe just a grumpy scientist, you want to test a new mind control technique! To do this you decide that you want to test this works by having people select one of two objects set in front of them. *Insert evil laugh* Using your mind control technique you want your unwitting participants pick the object on the left. You don’t get 100% success, but suspect it’s working, how do we know for sure?

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The hypothesis in statistics

As promised today we’re talking statistics for experiments! It’s more interesting than it sounds… okay it’s exactly as exciting as it sounds. Depending on who you are that’s a lot or not at all. No matter where on the spectrum you fall, knowing how it works is useful. So we’re starting at the beginning and discussing what a hypothesis is and how we test it.

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The last PhD requirement

Real photo of me determining significance between two samples. It’s scarier than it looks.

We’re already at the end of the month, how the hell did that happen? It’s been close to a month and a half since the term started and it feels like it’s flying by. I realized that when I first started this project I covered a lot of the stuff I was learning at the time. In fact one of my previous class notes posts was in my top 10 highest viewed blog posts for 2020. Somewhere along the line I stopped doing that, so today we’re going to talk about what I’m taking this term, why I’m taking it, and why I’ll probably be adding a few step by step instructions for how you can do what I’m learning too in some of my upcoming posts.

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A look ahead

With the weather trying to kill everyone, the pandemic trying to kill everyone, and just life in general I feel like things are moving…. slooooow. I have a weekly meeting with my main-PI who reminded me that I’m behind and while he agreed it was probably due in part to the pandemic, it’s time to try and catch up. There is a lot going externally and internally, but I’m hoping that by covering a few things here I will have a nice little list I can refer back on and keep me on track. That’s the idea anyway.

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My scicomm video is done!!

I finally finished my video for the outreach project my main-PI tasked me with (this was the last post talking about it). There was a lot of time, effort, frustration, and I will admit, some not so kid appropriate language I was using during the editing process of the video. Mostly because I’m an idiot who had to find the most difficult way to do this project. Today we’ll cover what I did, how I hate myself enough to do it, and the end result. Let’s just say I’m not going to be a movie director or actor anytime soon…

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Scientific figure design

Well I’ve done it… sort of. I edited the grant for the semi-last time. Now we’ve got a working copy that reads the way we want it to read, so it’s off to the scientific writer to read over it and make sure it sounds good. You would think that means my work is done, but no. I need to do arguably the hardest part and create some of the figures we will use in the paper. Writing well takes practice, but making a good figure, well that’s art.

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A new science outreach project

Today we’re making a movie! Okay, it’s not a movie persay, it’s a virtual outreach project I’ve been tasked with by my main-PI. Unlike most outreach I do, this is going to take some planning, a bit of script writing, a easy to do exercise that can be followed at home, and lastly a little write up on everything going on. So when I say some planning, I mean a LOT of planning!

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I’m going into surgery… sort of!

Okay well this came out of left field, or rather happened faster than I thought it would. My Co-PI and I had discussed just last week seeing some of how the more clinical stuff gets done in terms of electrophysiology and invasive monitoring. He suggested I shadow some of the doctors while they are performing surgery to see how they do the things they do and now I’m about to get the chance to do just that. Yeah, that’s a lot of doing.

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More data surprises!

Data’s the gift that keeps on giving. Okay not really, but I wish it were!

Well I’ve finished with the new dataset I collected for my PhD project, it was a fast analysis so there is still a lot more I can do with it, but I’ve finished at least the initial processing and plotting. Overall it’s good news so now I’m just waiting to hear back from my Co-PI to confirm my findings or more than likely temper my excitement.

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An early present

Since my deadline has come and gone I can look around for a moment, but more importantly I don’t feel the pressure to hyperfocus on a single project. So today instead of working on that dataset I’m switching to a dataset I need to get done before my PhD proposal defense. It’s data that will (assuming I find something) further help make my case for studying my new “super secret” technique for the next 2-3 years depending on how long everything takes.

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How can we record from the brain non-invasively?

Still my favorite photo, which I took showing the EEG setup process we use these days!

We can read your mind! Okay, not quite, we can read the electrical activity going on in the brain and we can do this non-invasively. That’s right, you can do it from your own home if you wanted (here). It’s easy and since you don’t have to break the skin, it’s about as safe as can be. The real question here is why does this even work? For that we need to talk a bit on biology so let’s do this!

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