Chris Jungerius
@cjungerius.bsky.social
110 followers 110 following 12 posts
PostDoc @ Cambridge University. Brains, Bayes, Visual working memory.
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Reposted by Chris Jungerius
nicolecrust.bsky.social
I wonder if researchers who study attention and researchers who study emotion are aware about the strong parallel controversies regarding the theoretical targets?

Let me describe them.
Cartoon of two investigators looking at a brain with magnifying glasses
cjungerius.bsky.social
Don't know if you'd consider Andrew Gelman's blog for that list? Maybe not quite the same topic but definitely has some overlap.
cjungerius.bsky.social
Starting tomorrow! Join us for lots of ECR talks about topics from across the field of working memory research!
wmsymposium.bsky.social
Can you believe that WMS2025 (July 8-11) is less than a week away? If you are interested in Working Memory Research, WMS2025 is THE BEST online conference with THE AWESOMEST community of researchers across the globe! So DON'T FORGET TO CHECK IT OUT!
www.wmsymposium.org/home
Working Memory Symposium
Date: July 8-11 Program is now Available!
www.wmsymposium.org
Reposted by Chris Jungerius
opam.bsky.social
This Thursday we have our second OPAM online workshop! This one will address the best way to do power calculations to determine how many participants you should run in your next experiment - an increasingly important topic today! The talk will be given by @cjungerius.bsky.social from Cambridge!
Reposted by Chris Jungerius
jordannafa.bsky.social
>The earliest statisticians would spend hours thinking about their assumptions and models because the computations themselves might have taken days.

Today we call those people Bayesians
kitnoussis.bsky.social
Thirty years ago, Ian Hacking commented on the temptation to do push-button statistics without first thinking about the theoretical side. The earliest statisticians would spend hours thinking about their assumptions and models because the computations themselves might have taken days. #rstats
Reposted by Chris Jungerius
vincentab.bsky.social
📚😅🎉

Yay!! I just submitted the complete manuscript of my upcoming book to the publisher!

Learn to easily and clearly interpret (almost) any stats model w/ R or Python. Simple ideas, consistent workflow, powerful tools, detailed case studies.

Read it for free @ marginaleffects.com

#RStats #PyData
Model to Meaning: How to interpret statistical models with marginaleffects for R and Python
Reposted by Chris Jungerius
cjungerius.bsky.social
Exciting updates!
I defended my PhD under @haslagter.bsky.social in January—'Learning What Matters: How to Pay Attention in a Volatile World'—and today, I’m starting as a Research Associate in the @bayslab.org at Cambridge. Looking forward to new challenges ahead!
Reposted by Chris Jungerius
trentincaterina.bsky.social
❗News Alert ❗
Our iBBA (Institute for Brain and Behaviour Amsterdam) is now flying on Bluesky 🦋. If you're passionate about groundbreaking interdisciplinary science focused on understanding the brain and body as a unified system, stay tuned and follow us at bsky.app/profile/ibba...
bsky.app
Reposted by Chris Jungerius
laneh.bsky.social
ReVISit 2.0 (revisit.dev) reached several exciting milestones recently:

📁 You can now define an entire experiment in a single file— from trial data, stimuli (visualizations and interactions, thanks to Vega-Altair), study blocks/sequences and randomization, questionnaires, etc.
Reposted by Chris Jungerius
carlislerainey.bsky.social
"Power Rules: Practical Statistical Power Calculations"

Preprint DOI: doi.org/10.31219/osf...

#stats #polisky
Reposted by Chris Jungerius
jbakcoleman.bsky.social
I had missed this as well and it really underscores how badly discussions of reform have missed thinking about the models we use and why we use them 🧵
Reposted by Chris Jungerius
trentincaterina.bsky.social
Our PNAS paper "Action similarity warps visual feature space in working memory" is out! www.pnas.org/doi/epub/10..... Thanks to @haslagter.bsky.social and Chris Olivers for guiding me through this project, and thanks to Luigi Falanga and Jannik Jeske for their great lab work. What a team! 🤩🤓
www.pnas.org
Reposted by Chris Jungerius
haslagter.bsky.social
Now that more people are here, I’m signal boosting this great methods primer by my PhD student Chris. Chris is currently in the market for a postdoc, and comes highly recommended! #neuroskyence
cjungerius.bsky.social
Excited to share my primer on simulation-based power analysis using R, Python, and Julia! Based on @debruine.bsky.social's approach applied to data collected by @kirsten-adam.bsky.social, I hope it's a helpful tool for those starting with simulations. Check it out: cjungerius.github.io/powersim/
Power Simulation: A primer in 3 languages - Power Simulation in a Mixed Effects design using R
cjungerius.github.io
Reposted by Chris Jungerius
cgnguyen.bsky.social
Since this is making the rounds again, an updated version of my "Types of Political Behavior Papers" .
A humorous summary of different types of political behavior paper types 

You should always use this novel (10 year old) model we stole from psych/ CS/ econ/ physics/  /neuroscience 
You should never use this outdated (15 year old) model we had stolen from from psych/ CS/ econ/ physics/  /neuroscience 
We randomized stuff – now some things are different and others are not (but we won’t tell you about those)
How do we get people to vote?
Wait, we didn’t mean vote like THAT!
I found a great instrument – now all I need is a research question and a theory
My research fund is bigger than yours – a 150 country survey study 
Survey respondents say the darndest thing 
Did anybody else notice that things kind of suck right now? 
A bad thing is associated with another bad thing 
Getting the band back together: A large-N cross-country validation study of our pet theories
Reposted by Chris Jungerius
n41c0.bsky.social
thanks to the iBBA VU our workshop on Info. Theory is in full swing with Dr. Ince (@robince.bsky.social) giving an intro. lecture on info. theory measures. Dr. Canales-Johnson (@canalesjohnson.bsky.social) will follow with a lecture on how to use these measures to study perception and cognition
cjungerius.bsky.social
Your son is following much more interesting classes than I was at that age!
cjungerius.bsky.social
disclaimer: it has been quite some time since I was 13 so I can't really gauge how difficult this is!
Theory-wise, you can't really do better than 3blue1brown (but same disclaimer as above, might require some tricky maths):
www.youtube.com/watch?v=airc...
But what is a neural network? | Chapter 1, Deep learning
YouTube video by 3Blue1Brown
www.youtube.com
cjungerius.bsky.social
For any modern type of encryption it should be nigh impossible to determine the encryption method from the ciphertext (by design). Classification of e.g., images might be a lot simpler and pretty cool? Keras makes it quite easy in combination with something like www.youtube.com/watch?v=BfCP...
Beginner Deep Learning Tutorial | MNIST Digits Classification Neural Network in Python, Keras
YouTube video by Andreas Zinonos
www.youtube.com
cjungerius.bsky.social
Me every time I get shot down
Reposted by Chris Jungerius
cgnguyen.bsky.social
Me, every time @cjungerius.bsky.social suggests Bayesian Models.
cjungerius.bsky.social
Excited to share my primer on simulation-based power analysis using R, Python, and Julia! Based on @debruine.bsky.social's approach applied to data collected by @kirsten-adam.bsky.social, I hope it's a helpful tool for those starting with simulations. Check it out: cjungerius.github.io/powersim/
Power Simulation: A primer in 3 languages - Power Simulation in a Mixed Effects design using R
cjungerius.github.io
cjungerius.bsky.social
psyarxivbot.bsky.social
Reduced contextual uncertainty facilitates learning what to attend to and what to ignore: http://osf.io/exgvu/