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Followers
920
Account age
3 yrs
💰 Suggested sponsorship rate
$40 – $65 / sponsored post
Estimated from audience size & typical reach — every deal is negotiable and held in SocialDB escrow.
🧰 Free analysis for Cian O’Donnell
Known for
22 views
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
8 views
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 🤩
![[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](/img?u=https%3A%2F%2Fstatic.mstdn.science%2Fmedia_attachments%2Ffiles%2F115%2F057%2F655%2F043%2F694%2F487%2Fsmall%2F5b39812fc6314d5b.png)
2 views
[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
1 views
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 😍
📊 Post engagement
8
Avg engagement / post
0.9%
Engagement vs followers
Nov 2022
On Mastodon since
🔥 Top post: actually happy when I see grammar and spelling mistakes in stude · 25 likes + reposts
📊 Activity & format
Posting cadence
0.67 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly text
Recent: 7 text · 5 image · 0 video.
Follower / following
1.7×
Follows 530 back. A more reciprocal / networked account.
Recent posts
View on Mastodon ↗
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 att…
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…
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 real…
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 mo…
[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 collect…
nothing makes sense in computational modelling, except in the light of these two all-time classic maxims:
1. all models are wrong, some are useful - George Box
2. everything should be made as simple as possible, but no simpler - Albert Ein…
It was hard to know how to feel when Diogo Jota died last week. I was sad because you feel like you kind of feel connected to these celebrities from watching them on tv every week, but surely it's nothing compared to the daily horror in Ga…
90% of neuroscience papers are one of:
1. it turns out what we thought was generally true was actually just a special case
2. the thing we think is true contains smaller things that we can measure
3. what we thought was true is still true,…
"The writing is getting better. The ideas are getting worse."
Great post on the impact of GenAI on students' ability to learn how to write and therefore how to think
https://www.forkingpaths.co/p/the-death-of-the-student-essayand
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…
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 real…
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 mo…
[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 collect…
nothing makes sense in computational modelling, except in the light of these two all-time classic maxims:
1. all models are wrong, some are useful - George Box
2. everything should be made as simple as possible, but no simpler - Albert Ein…
It was hard to know how to feel when Diogo Jota died last week. I was sad because you feel like you kind of feel connected to these celebrities from watching them on tv every week, but surely it's nothing compared to the daily horror in Ga…
90% of neuroscience papers are one of:
1. it turns out what we thought was generally true was actually just a special case
2. the thing we think is true contains smaller things that we can measure
3. what we thought was true is still true,…
"The writing is getting better. The ideas are getting worse."
Great post on the impact of GenAI on students' ability to learn how to write and therefore how to think
https://www.forkingpaths.co/p/the-death-of-the-student-essayand
🐘 Community & instance
Home server
mstdn.science
Their home server on the fediverse — the instance a creator picks signals the community they belong to.
On Mastodon since
Nov 2022
Joined in the Twitter-exodus wave of late 2022 — part of the migration that made Mastodon a real destination.
💡 Facts
🗓️Joined Mastodon in 2022 — 3 years ago.
👁️Averages 8 views per post.
📤Posts about 0.7× per week.
🛡️ Audience credibility
66/100
Good
Credibility score
89%
Real
Real audience
Low
Fake-follower risk
High
Data confidence
- Est. 89% real, active audience · Low fake-follower risk.
- Engagement (~0.9% of followers engage each post) is around typical for Mastodon.
- Established account (3+ years old).
Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.
About
Computational neuroscientist.
Senior Lecturer at Ulster University.
"not articulate enough"
http://odonnellgroup.github.io
📸 Gallery
🔀 Audience overlap
EstimatedEstimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.
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