Research Thoughts Thoughts

Why Pseudoscience is Dangerous

We’ve all seen them. Scrolling down our Facebook feeds. From the extreme “Eat cinnamon to prevent cancer”. “Grow these plants in your house to filter out toxins” to the plausible sounding but nonetheless empirically awful claims on the powers of coffee, power posing, red wine etc. etc. There’s so much junk out there that it’s a waste of time to debunk each one personally. And there’s really no point. Whack something down and something else will just rise to take its place. In my own life, I steer well clear of garbage science. It’s not hard to do, just look up the journals that are being cited and if no journal is being cited, toss it out. You’ll be amazed at how much plausible “real science backed” stuff actually has no backing whatsoever. Ask someone else to do it though and you often get a range of laziness fueled reactions. …

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Research Thoughts Thoughts Uncategorized

My Take on Excelling in Graduate School

Like many, I had a slightly slow start to my graduate career before I started to learn how to really get things moving. As I move on to new pastures, I figured it be worth taking a few minutes to share some of the things that have helped me in my adventure + many more that I wish I had known or had taken more seriously coming in. Here’s a shortlist for them for folks thinking about graduate school or who know folks with plans that might find this useful! *Caveat : this list is psych-centric with an emphasis on folks interested in a academia, might be some useful bits in the mix for folk interested in applied work but I’d recommend checking out other sources for tips on that! 1) Learn a Skill and get good at it, very good at it ideally Unless you happen to have a earth-shatteringly …

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EEG Research Thoughts

Temporal-Spatial Decomposition in ERP Analysis : A General Introduction

Most of my work focuses on EEG related measures. While I do conduct some single-trial, time-frequency, electrotomographic and connectivity based analyses, it’s hard to disregard the rich body of work involving classic ERP components. I suppose the analogue to “Ahh, but does it run Crysis” in the EEG world might be “Ahh, but does it P300”? (the overlap in the Venn diagrams of folks who get those jokes is might be fairly small, but I think it’s funny so it stays!). Focusing on the simple case of finding a P300, say to an auditory oddball paradigm. Imagine you went all out on equipment and collected some awesome 256 electrode high density datasets. What next? How do you decide When and Where that P300 component arises? No problem! I’ll just look at the literature and use what other folks use. A few hours later, you’re surrounded by papers proclaiming the P300 is …

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