Cian O’Donnell

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1.9K Posts
Computational neuroscientist.
Senior Lecturer at Ulster University.
"not articulate enough"
http://odonnellgroup.github.io
Guten Morgen.

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 and Children’s Risk of Autism, ADHD, and Intellectual Disability

This nationwide cohort study with sibling control analysis examines the association of acetaminophen use during pregnancy with children’s risk of autism, ADHD, and intellectual disability.

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 😍

@steveroyle

What 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.

#academia #ScientificPublishing

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!

https://www.the-scientist.com/a-map-of-the-impossible-microns-delivers-ai-and-neuroscience-advances-73362

A Map of the Impossible: MICrONS Delivers AI and Neuroscience Advances

Scientists characterized the largest sample of a neural circuit to date to improve artificial intelligence models and better understand the brain.

The Scientist

Lord 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

@zenben no idea how to quantify but one issue is that neuroscience is not a 1D problem, we have made 'spiky' progress over the map, deep dives in certain directions, but lots of uncharted territory. How to capture that??
@lindenshieldarts beautiful. A walk into the unknown.
@zenben that's a great question. We might hope we have a bit more temporal datapoints to extrapolate from now so could make better guesses... but who knows?