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?(more…)
It’s the day after thanksgiving and I made my annual I don’t want to have to cook for the next week or two spread of tasty foods. I don’t do the traditional Thanksgiving foods though, I prefer Mexican dishes (since I’m Mexican). Namely I make a huge batch of tamales, since they are a bit of work I tend to make a comically large amount, think 100 or more. So while I have food to last, I need to get back to my main focus and that’s work!(more…)
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!(more…)
Let it be known that I’m a person of my word and today we’re going to give a rather broad overview of ICA and dipoles. Don’t know what those words mean? Well start here and that will give you a high level view of the entire process. Today we’re going to do a slightly deeper dive into what the heck a dipole is, why we use it for ICA and why ICA is so helpful in EEG data processing. Sound like a lot? Well it is, but let’s take a crack at it anyway!(more…)
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.
Research strongly suggests that sleep, which constitutes about a third of our lives, is crucial for learning and forming long-term memories. But exactly how such memory is formed is not well understood and remains, a central question of inquiry in neuroscience. Neuroscientists say they now may have an answer to this question in a new study that provides for the first time a mechanistic explanation for how deep sleep (also called slow-wave sleep) may be promoting the consolidation of recent memories.
A new study may have unlocked understanding of a mysterious part of the brain — with implications for neurodegenerative conditions such as Alzheimer’s. The results open up new areas of research in the pursuit of neuroprotective therapies.
Are the same regions and even the same cells of the brain area called hippocampus involved in encoding and retrieving memories or are different areas of this structure engaged? This question has kept neuroscientists busy for a long time. Researchers at the Mercator Research Group “Structure of Memory” at RUB have now found out that the same brain cells exhibit activity in both processes.
In biology, stability is important. From body temperature to blood pressure and sugar levels, our body ensures that these remain within reasonable limits and do not reach potentially damaging extremes. Neurons in the brain are no different and, in fact, have developed a number of ways to stabilise their electrical activity so as to avoid becoming either overexcitable, potentially leading to epilepsy, or not excitable enough, leading to non functional neurons.
Researchers studying how the brain makes decisions have, for the first time, recorded the moment-by-moment fluctuations in brain signals that occur when a monkey making free choices has a change of mind. The findings result from experiments led by electrical engineering Professor Krishna Shenoy, whose Stanford lab focuses on movement control and neural prostheses – such as artificial arms – controlled by the user’s brain.
Scientists in Japan have have discovered how nerve cells adjust to low energy environments during the brain’s growth process. Their study may one day help find treatments for nerve cell damage and neurodegenerative disorders such as Alzheimer’s and Parkinson’s diseases.