Lars FischerGuten Morgen.
"not articulate enough" http://odonnellgroup.github.io
Cian O’Donnell
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Computational neuroscientist.
Senior Lecturer at Ulster University.
"not articulate enough" http://odonnellgroup.github.io
"not articulate enough" http://odonnellgroup.github.io
George Box famously said "all models are wrong, some are useful", but what he forgot to add was that usefulness doesn't just depend on the model.
A model is useful *only with respect to a given target problem*
2024 Swedish study on 2.5M people's data:
"Acetaminophen use during pregnancy was not associated with children’s risk of autism, ADHD, or intellectual disability... This suggests that associations observed in other models may have been attributable to confounding."
https://jamanetwork.com/journals/jama/fullarticle/2817406
"Acetaminophen use during pregnancy was not associated with children’s risk of autism, ADHD, or intellectual disability... This suggests that associations observed in other models may have been attributable to confounding."
https://jamanetwork.com/journals/jama/fullarticle/2817406
updated version of our paper on bayesian modelling for whole-brain cell count data: https://elifesciences.org/reviewed-preprints/102391
People spend 1-2 years collecting these kinds of gene-expression/anatomy/IEG data... what's another 1-2 months learning + applying Bayes to get more stats bang for your buck 😍
Albert CardonaWhat I find really interesting is papers that were ignored for years and then suddenly gained a lot of citations, sustained over a long time. I only know of these kind of papers because I signed one of them myself. Gave me the confidence to work on whatever I think is right without expecting any immediate splash.
Papers that make a splash do so because they deliver within not just the adjacent possible but closer, within the adjacent imaginable: what many thought would be desirable and not against any physical laws.
excellent writeup by Shelby Bradford in The Scientist on the MICrONS project to build large-scale connectivity maps of the mouse brain - with some small comments by me.
I have been blown away by all the various connectome projects and really do think they will change neuroscience forever... and maybe AI too who knows!
Information Is BeautifulLord of the Rings characters: screen time vs mentions in the book.
The further from the dotted line, the further off trend.
By reddit user austinw-8 https://www.reddit.com/r/dataisbeautiful/s/Dw7XqDxyEB
incredible Ada Lovelace quote highlighted in a talk by Steve Furber at our ISRC CN3 summer school. She spells out the dream of computational neuroscience, 2 centuries ago. The sheer ambition 🤩
gave a short lecture this morning on principles of computational modelling, always try to stress the point made by @romainbrette that adding details to a model does not automatically make it more realistic.
The wooden airplane model has more 'details' but only the paper model can fly
[side-stepping the gendered language] this passage from Conrad's Heart of Darkness reminds me of the private joys of doing science that I have realised are what keep me wanting to do research. Hidden from and quite different to the collective public process of science
