NEW! Explore @thetransmitter.bsky.social's newest tool, Neuro Funding Finder. Discover grants, fellowships and funding opportunities for neuroscience research at all career stages. Find your next funding source and apply, all in one place! #neuroskyence thetransmitter.org/neuroscience...

Neuroscience Grants Funding Finder

Discover grants, fellowships and funding opportunities for neuroscience research at all career stages.

thetransmitter.org

📘 With the release of our textbook "Bayesian Workflow" (avehtari.github.io/Bayesian-Wor...), I figured I'd also share the content of my graduate course on the topic at UBC. 🌎 charlesm93.github.io/stat547/ The course contains overlapping and complementary material, homeworks and reading.

Bayesian Workflow book: Website – Bayesian Workflow book

Website for the Bayesian Workflow book by Gelman, Vehtari, McElreath, et al. — case studies, code, and exercises in R and Stan.

avehtari.github.io

@aloctavodia.bsky.social has been porting Bayesian Workflow book avehtari.github.io/Bayesian-Wor... case studies to Python using CmdStanPy, numpyro, ArviZ, Bambi, and kulprit arviz-devs.github.io/bayesian-wor... He is working on porting the rest of the case studies, too

Bayesian Workflow book: Case studies in Python – Bayesian Workflow case studies in Python

arviz-devs.github.io

Our paper "Neural timescales from a computational perspective" is finally out in @natneuro.nature.com: www.nature.com/articles/s41... We discuss how computational models and methods can distill empirical observations on neural timescales into quantitative, testable theories of brain computation.

Neural timescales from a computational perspective - Nature Neuroscience

This review integrates computational approaches to provide a unified view on how data analysis methods, biophysical mechanistic models and machine learning approaches can help to uncover the origins a...

nature.com

Just finished @badphysicist.bsky.social's "Einstein's tutor: The story of Emmy Noether and the invention of modern physics." This was a fun read which I quite enjoyed!>

someone reminded me, I had forgotten, that I put this crazy curve in as a practice problem in my book, page 236

Here, the consequences of US admin science funding decisions are spelled out in equations and simulations. The TL; DR: it’s dire.

Proceedings of the National Academy of Sciences@pnas.org · 2mo ago

A game-theory analysis suggests that proposed federal research funding cuts could dramatically alter academia. With funding reductions of 50%, more than half of researchers could become inadequately funded due to increased competition for scarce resources. In PNAS: https://ow.ly/hOVs50ZbivN

How not to defend science. A Decalogue for science defenders. (2020) Sven Ove Hansson. studiahumanitatis.eu/ojs/index.php/…… (1) Do not portray science as a unique type of knowledge. (2) Do not underestimate scientific uncertainty. (3) Do not describe science as infallible. 1/n

My thesis would smother me with a pillow in my sleep

Martin Clemens Winter@martincwinter.bsky.social · 3mo ago

ja fragt euch mal

THE POPE IS QUOTING GANDALF!!!

differences in skills explain the female advantage in college attendance and part of the STEM gap but have little effect on the gender earnings gap due to offsetting effects across these pathways: women's verbal advantage facilitates educational access but also steers them toward lower-return 3/4

What happens when your specparam model specification doesn’t match your actual neural signal? I built a small WASM Python app to explore on simulations how model misfit can skew PSD shape and parameter estimates. Try it online here: danielborek.me/code-spectra... #EEG #MEG #Python #shiny

𝗦𝗼 𝗺𝗮𝗻𝘆 𝗯𝗼𝗼𝗸𝘀 𝘁𝗼 𝗿𝗲𝗮𝗱 I've shared book suggestions on the brain, conceptual foundations of biology, and much more. Check out the collection from past years. (interface not perfect at this point). sparkling-trifle-93b8c9.netlify.app

"if my PhD kind of taught me one thing about research, it’s that the work is never done, and there’s always a new research project to pursue with community, more students to collaborate with, more policies to work on, to change." www.nature.com/articles/d41...

Running a farm, pursuing a research career: what’s the difference?

Brandon Brown sees parallels between life as an academic and tending a citrus grove following his move to the country.

nature.com

📊 Five #ggplot2 functions I wish I'd known about earlier 📊 I've written a short blog (with examples) of some of the lesser-known {ggplot2} functions and arguments that make it easier to create better charts! Link: nrennie.rbind.io/blog/five-gg... #RStats #DataViz

Five ggplot2 functions I wish I’d known about earlier – Nicola Rennie

There are a few small tweaks you can make to your ggplot2 code to improve your charts. However, they’re not often mentioned. So here’s a few functions and arguments I wish I’d known about earlier.

nrennie.rbind.io

"In a world of team science, there must be a better way to learn from failure, and not to see it as a burden. We all need to be doing a lot more to make failure a normal part of the scientific process." www.nature.com/articles/d41...

We need to talk about failure in science

Failure is part and parcel of research, but discussing it sometimes seems to be taboo in science. It doesn’t need to be.

nature.com

A terrific illustration of the trickiness in this space; thank you for it. To paraphrase Joe LeDoux: When researchers call a gene "hedgehog", no one confuses the gene/protein and the animal. But call it a "fear" circuit, and all manner of chaos ensues ... +1 for belief and its neural correlates.

Talking to some undergrads tomorrow about the why no one actually pays us to type model.fit() and asked them ahead of time to submit answers to a "trivially easy" data problem Fun to see the results come it, wild to know how many business run with a not dissimilar fog of war

G'day connection makers. On **April 16th**, we're hosting Georg Northoff telling us about intrinsic timescales. If it sounds interesting, here's the link to register: cam-ac-uk.zoom.us/meeting/regi...

Another rule is that if you actually challenge any of this stuff, some tech bro must say "Yeah but what do you know? They actually built these systems!" www.newscientist.com/article/mg26...

The dangers of so-called AI experts believing their own hype

Beware the tech leaders making grandiose statements about artificial intelligence. They have lost sight of reality, says Philip Ball

newscientist.com

We have an exciting series of talks coming up this semester. Starting on April 22nd, Wednesday's 6pm Berlin time! Join us in going back to mental representations!

Recognizing LLM-generated text isn’t just a skill—it’s a life sentence.

Matt Keeter@mattkeeter.com · 5mo ago

if you really hate someone, teach them to recognize LLM-generated text

This #infographic by Stephanie Phung is always a favorite example during my workshops. ✅ What WORKS in this infographic? • Consistency: colors, fonts, font sizes and illustration style are the same throughout the entire visual. Everything in the visual belongs together. 1/7

Anyone else spoiled by R's pkgdown and find python's mkdocs or sphinx a bit tedious and config-heavy. Check out @richmeister.bsky.social 's awesome new {great-docs} as a batteries-included alternative to spin up an effective docs site in <15 min! 1/n 🧵 github.com/posit-dev/gr...

GitHub - posit-dev/great-docs: Great Docs lets you easily build a Python package docs site

Great Docs lets you easily build a Python package docs site - posit-dev/great-docs

github.com

From an old slide deck on replication research. Rewatching this episode of the Big Bang Theory hit differently after my own experiences with conducting replication research ;)

It's hard to pick my favorite widget of our course — but our new "Patchwork Playground" is a top candidate! 🏆 Learn the {patchwork} syntax 📦 as you interactively stitch up to 8 plots in any layout you can think of 🤯 Available now in "ggplot2 uncharted" 🤘 www.ggplot2-uncharted.com/module4/plot...

Paul Rosenbaum's Causal Inference book is strongly recommended even if you think you don't need another intro causal inference book. It's short, it's precise, and it's thoughtful about sensitivity analysis and using all the evidence we have. www.goodreads.com/review/show/...

Latest post, on why a lot of LLM-based results may just be a coin toss: kucharski.substack.com/p/ai-has-an-...

artefacts in MEG: here, the participant forgot to remove a belt with a metal buckle. the buckle moves when breathing, introducing low frequency artefacts. taking off the belt solves resolves this. 🙂