Made it in one piece to my destination! Since I’m writing this before today’s events start, let’s talk about yesterday. While the bulk of the time was spent traveling it wouldn’t hurt to muse on a few of the events, especially since today will be a much busier (or at least more event packed) day.
Well today is the day, I’m packed and ready for the … festivities? Okay, so maybe not something that is a party, but conferences are a good chance to meet with people and share ideas. While this is a small one for our research group, it’s still a way to let others know what advancements have been made in the field.
It’s been a long and exhaustive road to get to here. As you may recall, I’ve given several updates already on my progress and I THINK I’ve finally hit success. In fact, I know I have, the problem now? Well what the neural net saw to make the predictions is a mystery to me, so I don’t know why or how it works… yet.
Conference is coming! With my talk right around the corner today is prep day. Basically I’m giving my talk today to the lab in the hopes that when I do it for real, it doesn’t completely suck. So practice, practice, practice!
We are just a few days away from my first of two events back to back. First up is the confrence I keep mentioning. It’s a meeting with collaborators from several schools to discuss work we’ve been doing that the group funded. I have one of those projects, so I will be presenting a powerpoint with an update on the work along with a poster that I’ve made.
Now that the term is over, you would think I get some time to myself. That is unfortunately not true. There is still quite a bit of work ahead for me before I can take some time over the winter break to relax. One of the more important things that needs to happen is the prosthetic project I’ve been working on for some time.
A few days ago I mentioned I did a thing, well an experimental thing really. It was… fun? It was definitely something. Overall it went well, but I said I would give everyone an update and I try to be a man of my word, so let’s do this.
It’s over. The term has finally come to an end and I’ve taken my final as of yesterday. It’s bittersweet, on one hand I can now (sort of) relax. On the other, it means that there are exactly zero chances for me to improve my grade. I’ve done my best and now I need to hope that it is enough to get me to the finish line.
Well today is the day, finals! Well the only final I have this term really. I’m keeping my fingers crossed, but as you may have noticed from yesterday’s post, I’m a little stressed out… to say the least. So what’s happening today?
Today I had my experiment (yay), so now I need to process the data. I also sat in another PhD defense for one of our lab members, so now that I have a free second I wanted to give an update. Expect a longer post tomorrow, but for today, I have sooooo much work to do!
Until next time, don’t stop learning!
Here we are another day another post. Today I will be spending the bulk of my time studying and getting my slides ready for the confrence I’ll be attending next week. That will be … fun? However today is also an important day for one of my fellow students, he’s defending his PhD.
It looks like things are moving a little quicker than I thought for me. As you may or may not know, I’m getting ready to do an experiment. Well, we finally (finally!) finalized the protocol and just in time too. While I won’t make the deadline for my project update, I will have some data to show when we get to the conference, which is a good consolation prize.
I’ve got a lot going on, but today is a day off. It’s important to take time for yourself so when you need to do the work, you actually do the work. I’m sure we’ve all felt that way, where you force yourself to do something and spend 4+ hours doing something that you could do in less than an hour. Sometimes you need a break.
Well it’s that time of year again, finals! On one hand I’m excited at the prospect of being done with the term, on the other I’m a notoriously bad test taker. I deal with a lot of anxiety you see and even when I know how to solve the problem, come test day I end up drawing a blank or making very stupid mistakes. Standardized tests are the bane of my existence!!
Well today is thanksgiving, not a holiday I celebrate, but I’m happy to have the day off at least. I’ll be taking the day to get some work done and relax some. Deadlines are coming so I can’t take the whole day to myself, but at least it’s a low stress day.
Until next time, don’t stop learning!
Wow, time flies, we’re already on day 100. Still not half way done, but it certainly doesn’t feel like 100 days of writing. Today has been a busy day, which is why I’m writing so late. With the end of the term comes other projects that need to be addressed, namely my qualifying exam, final exams, and other lab members having their Ph.D defense. Yep, we have not one, not two, but three people defending their Ph.D this term.
I’ve got news! In my last post on the subject I said that I wasn’t expecting a response from the lab I was requesting data from until Monday, if at all. Well would you believe I got a response! It wasn’t a “here’s the data response,” but it is progress. Let me explain why.
Today should be an interesting day for me. I plan to do a deep dive into the world of neural networks to better understand how they work and the best type to apply to my data. There are a few, quite a few in fact that I could use and really it depends on how I want to frame my problem, so let’s look at what I’ve got planned.
I have some data. This shouldn’t be news, I’ve been talking about how I’m trying to train a model to predict an output using this data and all the woes that have come from the training process. Turns out I have a problem, well more like questions that need answers and for that I need help.
So far things have been non-stop and today is no exception. I have a lot of housework to do and balancing that work with my school work (all while still trying to find time to relax some) is difficult. Nevertheless today is housework day (mostly).
Ugh!! After over six weeks my paper was rejected becuase it didn’t fall in line with what the editor wanted. This is frustrating because each journal has different formatting requirements and you cannot submit to multiple journals at once so we need to sit and wait.
As you may be aware, I am planning an experiment! Cue upbeat music Unfortunately record scratch I’m nowhere near ready. It’s been a process for sure and we are (maybe?) back on track to get started soon. Today I had a meeting scheduled with my PI to discuss the details, but…
I’ve talked about my impending deadlines a lot lately. I also mentioned that I had an experiment that I needed to do to meet a deadline, well it looks like we may or may not meet this goal. Let’s talk about the latest headaches.
Well it’s been an interesting experience. I’ve been working hard to train a binary classifier to predict the two classes in my data. There has been a lot of ups and downs and more importantly, there has been some progress. It isn’t perfect, but it’s a start, so let’s look at what I’ve got so far and where I’m headed.
Well it happened, the date for my qualifying exam has been set. I’m nervous, I’m excited, I’m mostly just anxious to get it done. Quite frankly I’m exhausted, so it will be nice to get one thing off my to-do list. Let’s look at how I need to get ready.
I don’t normally leave my computer on 24 hours a day, but it has been hard a work, so it hasn’t been off in days. Training a model can take some time, as I am finding out and while I’ve made progress on the resulting model, it’s still not where I want it. Let’s talk about what has been going on.
Time for a break from stochastic processes, at least for the moment. Every year here we update and post our favorite Halloween tradition! So today we bring you the science fact and fiction behind the undead. Zombies, those brain loving little things are everywhere. Sure, we are all familiar with the classic zombie, but did you know that we aren’t the only zombie lovers out there? It turns out that nature has its own special types of zombies, but this isn’t a science fiction movie, this is science fact! Sometimes fact can be scarier than fiction, so let’s dive in. Let’s talk zombies.
Because we introduced the central limit theorem last post, it’s time to introduce another important concept. The idea of independent events, while this may seem intuitive, it is one of the assumptions we make in parametric statistics, another concept we will define, but for now let’s jump into independence.*
Well here we are again, if you recall from our last post, we talked Bonferroni Correction. You may also recall that when the post concluded, there was no real topic for today. Well after some ruminating, before we jump into more statistics, we should talk about the central limit theorem. So let’s do a quick dive into what that is and why you should know it!*
By now we are masters of statistics… right? Okay, not really, but we are getting there. So far we’ve covered two types of errors, type 1 which you can read about here, and type 2 which you can read about here. Armed with this new knowledge we can break into a way to correct for type 1 errors that come about from multiple comparisons. Sound confusing? Well, not for long, let’s break it down and talk Bonferroni.*
Last post we did a quick bit on type 1 errors. As with anything, there is more than one way to make an error. Today we are talking type 2 errors! They are related in the sense and we’ll go over what that means and compare the two right… now!*
We did it, we cracked the coin conundrum! We managed the money mystery! We checked the change charade! We … well you get the idea. Last post we (finally) determined if our coin was bias or not. Don’t worry, I won’t spoil it for you if you haven’t read it yet. I actually enjoyed working through a completely made up problem, so if you haven’t read it, you really should. Today we’re going to talk dogs, you’ll see what I mean, so let’s dive in.*
It looks like we’ve arrived at part 3 of what is now officially a trilogy of posts on statistical significance. There is so much more to say I don’t want to quite call this the conclusion. Instead, let’s give a quick review of where we left off and we can get back to determining if an observed value is significant.*
Well here we are two weeks into 365DoA, I was excited until I realized that puts us at 3.8356% of the way done. So if you remember from last post we’ve started our significance talk, as in what does it mean to have a value that is significant, what does that mean exactly, and how to do we find out? Today is the day I finally break, we’re going to have to do some math. Despite my best efforts I don’t think we can finish the significance discussion without it and still manage to make sense. With that, let’s just dive in.*
If you’ve read my last post I hinted that today we would discuss filtering. Instead I think I want to take this a different direction. That isn’t to say we won’t go over filtering, we most definitely will. Today I want to cover something else though, significance. So you’ve recorded your signal, took an ensemble average, and now how do we tell if it actually means something, or if you are looking at an artificial or arbitrary separation in your data (IE two separate conditions lead to no difference in your data). Let’s look at significance.*
Noise, it can be troublesome. Whether you are studying and someone is being loud or you are trying to record something, noise is everywhere <stern look at people who talk during movies>. Interestingly enough the concept of noise in a signal recording sense isn’t all too different from dealing with talkative movie goers, so let’s talk noise!*
So you wanna use a spectrogram… but why? What does a spectrogram do that we can’t do using some other methods for signal processing? As it turns out, there is a lot of reasons you may want to use the spectrogram and today we are going to cover some of those reasons and number four may shock you! (okay not really, what do you think this is a clickbait website?)*
Well ten days in and we’ve just introduced the idea of the spectrogram. While a lot of this information is just the broad strokes, I like to think that we’ve covered enough to give you a good idea about how to use these tools and what they are used for. However, we do need to discuss a limitation to the spectrogram, something called the banana of uncertainty, okay not quite the name, but you’ll see why I keep calling it that.*
Last post we introduced a new tool in our arsenal of signal processing analysis, the spectrogram. Without knowing how to read it, it just looks sort of like a colored mess. Don’t get me wrong, it is an interesting looking colored mess, but a mess nonetheless. Well today we are going to talk about how to interpret the plot and why exactly we would ever use this seeming monstrosity.*
To (somewhat) continue with our signal processing theme that we have going on at the moment, over the next few days, let’s look at something called the spectrogram. It’s three dimensions of fun!*
Waves! We’re officially one week through 365 Days of Academia! Woo! 1 week down, 51(.142…) weeks left! Let’s wrap up this weeks theme (there wasn’t originally a theme, but it kind of ended up that way) by talking about other ways we can get to the frequency domain. Specifically, let’s stop the wave puns and let’s talk wavelets!*
Okay, if you’ve been keeping up with these posts, we know about Welch’s method, Thomson’s method, the things that make them different, and the things that make them similar. The thing that both of these transforms rely on is the Fourier transform. What is the Fourier transform? Well, something I probably should have covered first, but whatever this is my blog we do it in whatever order we feel like, so let’s dive in!*
One day someone looked at the windowed fourier transform and said, “Don’t be such a square!” and thus window functions were invented. If you believe that, then I have an island for sale, real cheap. But seriously, let’s do a dive into what a window function is and why the heck there are so many of them, because there ARE a LOT! So let’s get started!*
Leakage, it’s never a good thing. For today’s post we’re going to cover a very important topic. Spectral leakage, it’s a big reason why spectral density estimation is well, an estimation. The other reason it is an estimation is because the fourier transform is an approximation of the original signal, but the Fourier transform is a whole other post on its own. So let’s talk leakage!*
In our last post we introduced the two main characters in this story of spectrogram. On one end we have Welch’s method (pwelch) on the other end we have the Thomson multitaper method (pmtm). As promised here is a
awful basic breakdown of why is more than one way to compute power spectral density (in fact there are several, far more than the two I’m talking about). So, let’s just dig right in!*
This is a (somewhat) continuation on what we were discussing in the previous post. We covered the pwelch MATLAB function, this time we will cover the PMTM function, this function uses the Thomson multitaper method to calculate power spectral density. We can do a deep dive into the differences between the two next time, but for now let’s talk about the command itself.*
Signal processing, it’s complex, there are a million ways to go about processing a signal, and like life, there is no best way to go about doing it. Trust me, it is as frustrating as it sounds. Today’s scratch pad note is on power spectral density or PSD for short. So let’s dive in.*
The age at which an adolescent begins using marijuana may affect typical brain development, according to researchers at the Center for BrainHealth at The University of Texas at Dallas. In a paper recently published, scientists describe how marijuana use, and the age at which use is initiated, may adversely alter brain structures that underlie higher order thinking.