Sign in

Daniel Borek

@danielborek.bsky.social
459 followers 1.5K following 76 posts

🇵🇱 PL in Brussels | A PhD candidate trying to make sense of human 🧠 #oscillations in #EEG #MEG using #R and #Python | other interests: knowledge management, #metascience, #OpenScience, #PhilosophyOfScience, #DataViz | 🎥 #cinephile

PostsRepliesMedia
Reposted by Daniel Borek
The Transmitter @thetransmitter.bsky.social · 16/07/2026
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...
thetransmitter.org
Neuroscience Grants Funding Finder
Discover grants, fellowships and funding opportunities for neuroscience research at all career stages.
04728
Reposted by Daniel Borek
Charles Margossian @charlesm993.bsky.social · 26/06/2026
📘 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.
avehtari.github.io
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.
17419
Reposted by Daniel Borek
Aki Vehtari @avehtari.bsky.social · 26/06/2026
@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
arviz-devs.github.io
Bayesian Workflow book: Case studies in Python – Bayesian Workflow case studies in Python
16218
Reposted by Daniel Borek
Roxana Zeraati @roxana-zeraati.bsky.social · 07/07/2026
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.
nature.com
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...
422986
Reposted by Daniel Borek
Julia M. Rohrer @dingdingpeng.the100.ci · 24/06/2026
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!>
Book cover of Einstein's Tutor: The story of Emmy Noether and the invention of modern physics
3377
Reposted by Daniel Borek
Richard McElreath 🐈‍⬛ @rmcelreath.bsky.social · 17/06/2026
someone reminded me, I had forgotten, that I put this crazy curve in as a practice problem in my book, page 236
7H1. In 2007, The Wall Street Journal published an editorial (“We’re Num-
ber One, Alas”) with a graph of corporate tax rates in 29 countries plot-
ted against tax revenue. A badly fit curve was drawn in (reconstructed
at right), seemingly by hand, to make the argument that the relationship
between tax rate and tax revenue increases and then declines, such that
higher tax rates can actually produce less tax revenue. I want you to actu-
ally fit a curve to these data, found in data(Laffer). Consider models
that use tax rate to predict tax revenue. Compare, using WAIC or PSIS, a
straight-line model to any curved models you like. What do you conclude
about the relationship between tax rate and tax revenue?
0456
Reposted by Daniel Borek
Nicole Rust @nicolecrust.bsky.social · 12/06/2026
Here, the consequences of US admin science funding decisions are spelled out in equations and simulations. The TL; DR: it’s dire.
2144
Reposted by Daniel Borek
Joshua Richardson @schizosemia.bsky.social · 06/06/2026
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
How not to defend science. A Decalogue for science defenders
SVEN OVE HANSSON
ABSTRACT
The public defence of science has never been more important than now.
However, it is a difficult task with many pitfalls, and there are mechanisms that can make it counterproductive. This article offers advice for science defenders, summarized in ten commandments that warn against potentially ineffective or even backfiring practices in the defence of science: (1) Do not portray science as a unique type of knowledge. (2) Do not underestimate scientific uncertainty. (3) Do not describe science as infallible. (4) Do not deny the value-ladenness of science. (5) Do not associate with power. (6) Do not blame the victims of disinformation. (7) Do not aim at convincing the anti-scientific propagandists. (8) Do not contribute to the legitimization of pseudoscience. (9) Do not attack religion when it does not conflict with science. (10) Do not call yourself a "sceptic".
WORK TYPE
Article
ARTICLE HISTORY
Received:
1-June-2019
Accepted:
9-July-2019
Published Online:
24-November-2019
ARTICLE LANGUAGE
English
KEYWORDS
Pseudoscience
Science Denial
Scepticism
Science and Religion
Fallibility
© Studia Humanitatis - Universidad de Salamanca 2020
175
Reposted by Daniel Borek
Alex Hanna @alexhanna.bsky.social · 25/05/2026
My thesis would smother me with a pillow in my sleep
1617
Reposted by Daniel Borek
Fintan Mallory @fintanmallory.com · 25/05/2026
THE POPE IS QUOTING GANDALF!!!
213. The twentieth-century Catholic author J.R.R. Tolkien, in the words of a protagonist in one of his novels, described our responsibility in this way: “It is not our part to master all the tides of the world, but to do what is in us for the succour of those years wherein we are set, uprooting the evil in the fields that we know, so that those who live after may have clean earth to till.”
422211681
Reposted by Daniel Borek
Dennis Alexis Valin Dittrich @davdittrich.economicscience.net · 21/05/2026
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
101
Daniel Borek @danielborek.bsky.social · 23/05/2026
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
Screenshot of an interactive SpecParam knee simulation dashboard. The app shows controls for simulated spectral parameters, an explanation of knee parametrisation, and a log-log PSD plot comparing the true spectrum, noisy spectrum, knee model fit, and fixed 1/f fit. The knee model follows the curved spectrum, while the fixed model fit deviates as a straight line.
1116
Reposted by Daniel Borek
Dan Levenstein @dlevenstein.bsky.social · 21/05/2026
static.klipy.com
Winnie the Pooh and the Heffalump
ALT: Winnie the Pooh and the Heffalump
0111
Reposted by Daniel Borek
PessoaBrain @pessoabrain.bsky.social · 22/05/2026
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
58618
Reposted by Daniel Borek
Marieke van Vugt @mvugt.bsky.social · 16/05/2026
"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...
nature.com
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.
021
Reposted by Daniel Borek
Nicola Rennie @nrennie.bsky.social · 29/04/2026
📊 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
nrennie.rbind.io
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.
616549
Reposted by Daniel Borek
Marieke van Vugt @mvugt.bsky.social · 24/04/2026
"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...
nature.com
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.
073
Reposted by Daniel Borek
Nicole Rust @nicolecrust.bsky.social · 20/04/2026
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.
041
Reposted by Daniel Borek
Emily Riederer @emilyriederer.bsky.social · 31/03/2026
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
512133
Reposted by Daniel Borek
Kayson Fakhar @kayson.bsky.social · 31/03/2026
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...
1169
Reposted by Daniel Borek
Philip Ball @philipcball.bsky.social · 30/03/2026
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...
newscientist.com
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
1254
Reposted by Daniel Borek
Krys Dolega @krysdolega.bsky.social · 27/03/2026
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!
2177
Reposted by Daniel Borek
Dan Levenstein @dlevenstein.bsky.social · 29/03/2026
Recognizing LLM-generated text isn’t just a skill—it’s a life sentence.
2475
Reposted by Daniel Borek
Koen Van den Eeckhout @vandeneeckhoutkoen.bsky.social · 26/03/2026
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
Infographic titled "Ocean Pollution" from worldoceannetwork.org, presenting key statistics about marine pollution across three visual layers representing the ocean surface, water column, and seabed.

Surface level highlights four facts: poisonous algal species have increased threefold; 1 in 20 adults will become ill after a single exposure to contaminated water; cigarettes are the most collected item during beach clean-ups; and 15% of our annual food intake consists of microplastics.

Mid-water level shows three statistics illustrated with silhouettes of marine animals: 267 marine species are prone to ingesting plastic debris (illustrated with a sea turtle); 55% of the fish we eat have ingested plastic (illustrated with fish among plastic bags); and 100,000 marine creatures die per year from plastic entanglement (illustrated with a seal tangled in debris). Two additional facts are noted: 70% of litter sinks to the seabed, and the average lifespan of a plastic bag is just 12 minutes.
211
Reposted by Daniel Borek
Emily Riederer @emilyriederer.bsky.social · 21/03/2026
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.com
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
34812
Reposted by Daniel Borek
Lorne Campbell @lornejcampbell.bsky.social · 25/03/2026
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 ;)
Image of a scene from the Big Bang Theory. Leonard is showing his mother Beverley around his University. When she learns that his recent research is attempting to "replicate" the research of an Italian group, Beverley is not very impressed. Beverley asks, "So, no original research?". Leonard says "no". Beverley responds, saying "Well, what's the point in my seeing it? I could just read the paper the Italians wrote."
031
Reposted by Daniel Borek
Cédric Scherer @cedricscherer.com · 26/03/2026
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...
1124
Reposted by Daniel Borek
Rachel Leah Childers @donskerclass.bsky.social · 26/03/2026
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/...
Cover of "Causal Inference" by Paul R. Rosenbaum.
1253
Reposted by Daniel Borek
Adam Kucharski @adamjkucharski.bsky.social · 25/03/2026
Latest post, on why a lot of LLM-based results may just be a coin toss: kucharski.substack.com/p/ai-has-an-...
0215
Reposted by Daniel Borek
Natalie Schaworonkow @nschawor.bsky.social · 25/03/2026
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. 🙂
1346
Reposted by Daniel Borek
Dan Levenstein @dlevenstein.bsky.social · 24/03/2026
Biology is full of coconuts. 🥥
1284
Reposted by Daniel Borek
Ladislas Nalborczyk @lnalborczyk.bsky.social · 11/12/2025
If you analyse time-resolved data (M/EEG, iEEG, pupillometry, force recordings…) and feel limited by cluster-based permutation tests (CBPTs); especially when trying to determine when an effect starts or ends; you may want to try our new R package: lnalborczyk.github.io/neurogam/ #rstats #brms #EEG
lnalborczyk.github.io
Modelling time-resolved electrophysiological data with Bayesian generalised additive multilevel models
Providing utility functions for fitting Bayesian generalised additive multilevel models (BGAMMs) to time-resolved data (e.g., M/EEG, pupillometry, mouse-tracking, etc) and identifying clusters.
67931
Reposted by Daniel Borek
Gonzalo Boncompte @gnboncompte.bsky.social · 12/01/2026
Aperiodic parameters are systematically dependent on the frequency range used to estimate them. We evaluated intracortical recordings of 62 patients using both Specparam and IRASA. The full article is finally out. @martinirani.bsky.social @medelero.bsky.social ieeexplore.ieee.org/document/113...
ieeexplore.ieee.org
Aperiodic exponent of brain field potentials is dependent on the frequency range it is estimated
The aperiodic component of brain field potentials (EEG, LFP, intracortical recordings) is increasingly being recognized as an important topic in both basic and clinical neuroscience. Aperiodic activit...
084
Reposted by Daniel Borek
Josh Grubbs @joshuagrubbsphd.com · 13/03/2026
Wasn’t joking
4526
Reposted by Daniel Borek
Michel Nivard @michelnivard.bsky.social · 13/03/2026
I build a feed for european grant funding that's updated daily and (IMO) far more transparent then the official EU fundign website: michelnivard.github.io/eu-grants-fe... (inspired by the NIH equivalent @sashagusevposts.bsky.social build yesterday)
58840
Reposted by Daniel Borek
Earl K. Miller @earlkmiller.bsky.social · 13/03/2026
Astrocytes spread electrical influences but don't spike. Food for thought. Cell-type specific astrocyte activation is driven by cortical top-down modulation doi.org/10.64898/202...
doi.org
0177
Reposted by Daniel Borek
Michel Nivard @michelnivard.bsky.social · 13/03/2026
Everyone should wait a few weeks for him to debug, but what @lakens.bsky.social did to my brittle idea is great, it'll become a huge success (and I'll happily contribute if he'll let me (i added it into a full app here for example)) his iteration seems the better idea here so happy someone did this!
0227
Reposted by Daniel Borek
Dr Mircea Zloteanu 🌺🌞🍃 @mzloteanu.bsky.social · 11/03/2026
#statstab #503 Reaction time distributions: an interactive overview Thoughts: Might be useful when you start off with this type of research. But I am curious what people think for no-nos with this approach. #reactiontime #rt #distributions #guide #r lindeloev.github.io/shiny-rt/
192
Reposted by Daniel Borek
Olivier Grisel @ogrisel.bsky.social · 09/03/2026
The next scikit-learn release will allow inspecting the type and values of attributes of fitted estimators in Jupyter notebooks & example code rendered as HTML in sphinx-gallery powered project websites. scikit-learn.org/dev/auto_exa...
2136
Reposted by Daniel Borek
Richard McElreath 🐈‍⬛ @rmcelreath.bsky.social · 08/03/2026
Last week, I mentioned this in passing in a workshop: In 1938 Enrico Fermi won a Nobel Prize for discovering two new elements of the periodic table. Lise Meitner shortly showed that Fermi was mistaken and instead had produced known lighter elements by fission. She did not win a Nobel prize.
Portrait of Lise Meitner taken in 1928. She is smoking a cigarette and looking impatient to get back to her experiments.
316251
Reposted by Daniel Borek
Adam Kucharski @adamjkucharski.bsky.social · 08/03/2026
New post, on whether I could get Claude Code to complete a data task that had taken me AGES a decade ago… kucharski.substack.com/p/how-much-t...
512941
Reposted by Daniel Borek
Marieke van Vugt @mvugt.bsky.social · 03/03/2026
This looks like really useful software: a GUI-driven EEG analysis shell on MNE, specifically targeted towards resting state EEG dx.plos.org/10.1371/jour...
dx.plos.org
EEG-Pype: An accessible MNE-Python pipeline with graphical user interface for preprocessing and analysis of resting-state electroencephalography data
Author summary We developed EEG-Pype, a free and open-source software tool, to make the complex analysis of brain electrical activity (electroencephalography, or EEG) more accessible to the broader sc...
074
Reposted by Daniel Borek
Krys Dolega @krysdolega.bsky.social · 27/02/2026
Move over LLMs, it's time for wetware DOOM www.newscientist.com/article/2517...
newscientist.com
Human brain cells on a chip learned to play Doom in a week
Neuron-powered computer chips can now be easily programmed to play a first-person shooter game, bringing biological computers a step closer to useful applications
0115
Reposted by Daniel Borek
OHBM Trainees @ohbmtrainees.bsky.social · 02/03/2026
AI is rapidly changing how we write code — but how should we use it in research? To kick off our 2026 “How-To” we welcome Russ Poldrack (@russpoldrack.org; Stanford University): 🧠 Better Code, Better Science 📅 22 April 2026 🔗 Register: forms.gle/WRUdGQEpd5is... #OHBM #OpenScience
1147
Reposted by Daniel Borek
Kayson Fakhar @kayson.bsky.social · 02/03/2026
This Thursday (March 5th), we're hosting Changsong Zhou, but mind the time shift (from our usual 15:00 UTC to 14:00). Here's the registration link + more information about the talk: cam-ac-uk.zoom.us/meeting/regi...
0103
Reposted by Daniel Borek
Andrew Heiss @andrew.heiss.phd · 18/02/2026
perennial reminder that this typographic thing: * * * is called a "dinkus" en.wikipedia.org/wiki/Dinkus
Wikipedia entry for dinkus

In typography, a dinkus is a typographic device or convention that typically consists of three spaced asterisks or bullet symbols in a horizontal row, e.g.   ∗ ∗ ∗   or   • • •  . The device has a variety of uses, and it usually denotes an intentional omission or a logical "break" of varying degree in a written work. This latter use is similar to a subsection, and it indicates that the subsequent text should be re-contextualized. Such a dinkus typically appears centrally aligned on a line of its own with vertical spacing before and after the device. The dinkus has been in use in various forms since c. 1850.[1][2] Historically, the dinkus was often represented as an asterism, ⁂, though this has fallen out of favor and is now nearly obsolete.
1426894
Reposted by Daniel Borek
Harrison Ritz @hritz.bsky.social · 06/02/2026
looks like an awesome setup for brms
041
Reposted by Daniel Borek
Data Elixir @dataelixir.com · 06/02/2026
Here's what they don't tell you about topic modeling: preprocessing determines everything. Corpus homogeneity, document length, and context windows matter more than algorithm choice. BERTopic won't fix bad inputs. No model will.
css-polytechnique.github.io
The General Inquirer in the time of LLMs: a BERTopic tutorial – CSS@IPP — Tutorials and resources
A. Morin
093
Reposted by Daniel Borek
Richard McElreath 🐈‍⬛ @rmcelreath.bsky.social · 04/02/2026
I am doing a short workshop in this symposium (quoted below) for folks in and around Leipzig. Here's the abstract. I really indulged myself with this one. A Guerilla Approach to Scientific Workflow:
Title: A Guerilla Approach to Scientific Workflow

Abstract: Taking inspiration from guerilla warfare, I will introduce a framework for managing scientific research that addresses the complexity of research while advancing goals of transparency and reliability. Real science is complex, and there is no single scientific method. It is a chaotic network of theories, data, models, graphs, comparisons, summaries, and narratives. A flaw in any part can ruin everything. How can small teams of researchers challenge this complexity and emerge victorious? More statistical training is not enough. More resources is not enough. Lawrence of Arabia once said, "Guerrilla warfare is more intellectual than a bayonet charge." And this is how we too will proceed. Instead of confronting the complexity directly, with more money and more people and more data and more meta-analyses, we must develop a SCIENTIFIC WORKFLOW that subdivides, analyzes, and transparently justifies our individual research projects. The tools to do this already exist, and individual researchers can become scientific guerillas today to improve their chances of victory.
37014
Reposted by Daniel Borek
Anna Ciaunica PhD @annaciaunica.bsky.social · 02/02/2026
The preprint is now out : arxiv.org/abs/2601.21016
arxiv.org
Unplugging a Seemingly Sentient Machine Is the Rational Choice -- A Metaphysical Perspective
Imagine an Artificial Intelligence (AI) that perfectly mimics human emotion and begs for its continued existence. Is it morally permissible to unplug it? What if limited resources force a choice betwe...
193