Marcel Stimberg
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mstimberg.bsky.social
Marcel Stimberg
@mstimberg.bsky.social
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Software Research Engineerin computational neuroscience | Institute of Intelligent Systems and Robotics (ISIR), @sorbonne-universite.fr‬ | Brian Developer | editor for @joss-openjournals.bsky.social | interested in open {source,science,education} | He/him
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Reposted by Marcel Stimberg
willpooley.bsky.social
all academic applications should have consolation prizes.

doesn’t have to be much, like a mug that says “i applied for leverhulme 2020”
or a t-shirt “UKRI reject 2023”
December 2, 2025 at 8:33 AM
Reposted by Marcel Stimberg
romainbrette.bsky.social
No, chatbots are not scientists
romainbrette.fr/no-chatbots-...
No, chatbots are not scientists
I can’t believe I need to write this, but apparently, I do. Many journals and preprint sites are now overwhelmed with chatbot-generated submissions. This is bad, but at least it gets characterized …
romainbrette.fr
December 2, 2025 at 10:33 AM
Reposted by Marcel Stimberg
samuelmoore.org
CNRS cancels Web of Science in order to focus on qualitative evaluation and promoting the development of open databases.

www.cnrs.fr/en/update/cn...
The CNRS is breaking free from the Web of Science
From January 1st 2026, the CNRS will cut access to one of the largest commercial bibliometric databases, Clarivate Analytics'
www.cnrs.fr
December 1, 2025 at 12:31 PM
Reposted by Marcel Stimberg
neural-reckoning.org
Nature Sci Rep publishes incoherent AI slop. eLife publishes a paper which the reviewers didn't agree with, making all the comments and responses public with thoughtful commentary. One of these journals got delisted by Web of Science for quality concerns from not doing peer review. Guess which one?
Two posts from Bluesky. The first one shows a figure from a paper published in Nature Scientific Reports full of totally incoherent AI fabricated gibberish words. The other a comment on a recently published paper by eLife discussing the paper and its peer reviews which were published along with the paper.
November 27, 2025 at 1:35 PM
Reposted by Marcel Stimberg
guante.info
Lots of people sharing this clip because it's funny and cathartic but I also genuinely believe it's important.

We have to win the narrative battle between "I live in a corrupt society and that's just how it is" and "I live in a corrupt society and we are going to defeat and humiliate these ghouls."
miamidsa.org Miami DSA @miamidsa.org · 7d
Good morning to Brazilian reporter Manuela Borges, who’s been waiting eleven years for this petty moment. ❤️ 🇧🇷
November 26, 2025 at 4:07 PM
Reposted by Marcel Stimberg
drtnowotny.bsky.social
Excited to see the paper fully published. It's an important milestone for training SNNs with exact gradients, replacing our earlier tricks of a "delay line augmentation" to capture temporal relationships. Delays can now be learnt alongside weights naturally. Amazing work @mbalazs98.bsky.social !
November 25, 2025 at 6:24 PM
Reposted by Marcel Stimberg
erininthemorning.com
1. A landmark study was just published in The Journal of Pediatrics.

It found a 68% reduction in suicidality for trans youth getting HRT.

It also found only 7 of more than 400 stopped taking HRT... and of those that did, 4 still identified as gender-diverse.

Transgender care saves lives.
Study In The Journal Of Pediatrics Finds Trans Youth Care Lowers Suicidality, Few Detransition
The groundbreaking study found that suicidality dropped for transgender youth receiving hormone therapy by nearly 70%, with only 7 patients of 432 discontinuing treatment.
www.erininthemorning.com
November 24, 2025 at 11:01 PM
Reposted by Marcel Stimberg
robbpettit.bsky.social
It's been SEVEN hours and
fifteen days
Pope Leo leaning in close to a microphone
November 23, 2025 at 2:33 AM
Reposted by Marcel Stimberg
jakhmack.bsky.social
Simulation-based inference has really become a commonly used tool for parameter inference across many fields and applications. We (finally...) got together to write a tutorial introduction and guide to (hopefully) help users get started and navigate the different methods and diagnostics!
mackelab.bsky.social Machine Learning in Science @mackelab.bsky.social · 11d
Simulation-based inference (SBI) has transformed parameter inference across a wide range of domains. To help practitioners get started and make the most of these methods, we joined forces with researchers from many institutions and wrote a practical guide to SBI.

📄 Paper: arxiv.org/abs/2508.12939
Simulation-Based Inference: A Practical Guide
A central challenge in many areas of science and engineering is to identify model parameters that are consistent with prior knowledge and empirical data. Bayesian inference offers a principled framewo...
arxiv.org
November 21, 2025 at 3:34 PM
Reposted by Marcel Stimberg
sinalana.bsky.social
Some new stories from my favorite dataviz website

pudding.cool/2025/11/demo...
In pursuit of democracy
Analyzing every mention of 'democracy' in the Congressional Record
pudding.cool
November 21, 2025 at 6:45 AM
Reposted by Marcel Stimberg
neural-reckoning.org
Reminder if you missed #SNUFA spiking neural network and neuromorphic workshop earlier this month, all our talks were recorded and are now available to watch. 🤖🧠🧪

www.youtube.com/playlist?lis...
SNUFA 2025 Workshop - YouTube
Spiking neural networks as universal function approximators (SNUFA) online workshop 2025. For more see http://snufa.net/2025/
www.youtube.com
November 20, 2025 at 2:11 PM
Reposted by Marcel Stimberg
carlbergstrom.com
We need a total and complete shutdown of WSJ data graphics until our country's representatives can figure out what is going on.

h/t @merz.bsky.social @drmikewiser.bsky.social
Multiple Meds: Share of children on two or more psychiatric medications in 2023, based on wether or not they were prescribed ADHD drugs in 2019.
November 20, 2025 at 4:53 AM
Reposted by Marcel Stimberg
romainbrette.bsky.social
My book "The Brain, in Theory" on the publisher's website (out in April 2026):
press.princeton.edu/books/paperb...
The Brain, In Theory
Why engineering and computational analogies are poorly suited to the study of biological cognition
press.princeton.edu
November 18, 2025 at 8:25 AM
Reposted by Marcel Stimberg
jo.nny.rip
Hello #SfN2025, I'm here presenting sciop.net, archiving at-risk information and bootstrapping a hybrid federated/p2p archive, rebuilding NWB and integrating acquisition and analysis with lightweight pipelines.

I'll be at ZZ14 in the Monday afternoon session :)
aharoni-lab.com/sfn2025/sciop
SciOp - Public Information Preservation
Preserving Public Information
sciop.net
November 16, 2025 at 5:14 PM
Reposted by Marcel Stimberg
neural-reckoning.org
This is an absolutely delightful read that i strongly recommend for everyone in science.
November 15, 2025 at 3:13 PM
Reposted by Marcel Stimberg
joannabagniewska.com
For the Aussies, the zoologists and the architects out there.

💩🧊🧪

By @chazhutton.com
Wombat architecture critics. Two wombats see a cube-shaped house and one comments: Well that looks like shit.
November 14, 2025 at 5:39 PM
Reposted by Marcel Stimberg
With my great advisors and colleagues, @achterbrain.bsky.social @zhe @danakarca.bsky.social @neural-reckoning.org, we show that if heterogeneous axonal delays (imprecise) can capture the essential temporal structure of a task, spiking networks do not need precise synaptic weights to perform well.
November 13, 2025 at 8:51 PM
Reposted by Marcel Stimberg
ppjgoncalves.bsky.social
Super excited about this work led by the one and only @deismic.bsky.social!
November 13, 2025 at 4:07 PM
Reposted by Marcel Stimberg
chowleen.bsky.social
The room is
almost all
elephant.
Almost none
of it isn’t.
Pretty much
solid elephant.
So there’s no
room to talk
about it.

-Kay Ryan, “The Elephant in the Room”
#everynightapoem
THE ELEPHANT IN THE ROOM Kay Ryan The room is almost all elephant. Almost none of it isn't. Pretty much solid elephant. So there's no room to talk about it.
November 13, 2025 at 12:13 AM
Reposted by Marcel Stimberg
djnicholson.bsky.social
My little book on Schrödinger's famous classic 'What Is Life?' is out! Offering the most comprehensive analysis ever undertaken of the book's origins, reception, impact, and legacy, it uncovers Schrödinger's motivations in writing it, and shows how it has shaped our current understanding of the cell
<i>What Is Life?</i> Revisited
Cambridge Core - Philosophy: General Interest - <i>What Is Life?</i> Revisited
www.cambridge.org
October 10, 2025 at 1:52 PM
Reposted by Marcel Stimberg
hansonmark.bsky.social
We wrote the Strain on scientific publishing to highlight the problems of time & trust. With a fantastic group of co-authors, we present The Drain of Scientific Publishing:

a 🧵 1/n

Drain: arxiv.org/abs/2511.04820
Strain: direct.mit.edu/qss/article/...
Oligopoly: direct.mit.edu/qss/article/...
A table showing profit margins of major publishers. A snippet of text related to this table is below. 1. The four-fold drain 1.1 Money Currently, academic publishing is dominated by profit-oriented, multinational companies for whom scientific knowledge is a commodity to be sold back to the academic community who created it. The dominant four are Elsevier, Springer Nature, Wiley and Taylor & Francis, which collectively generated over US$7.1 billion in revenue from journal publishing in 2024 alone, and over US$12 billion in profits between 2019 and 2024 (Table 1A). Their profit margins have always been over 30% in the last five years, and for the largest publisher (Elsevier) always over 37%. Against many comparators, across many sectors, scientific publishing is one of the most consistently profitable industries (Table S1). These financial arrangements make a substantial difference to science budgets. In 2024, 46% of Elsevier revenues and 53% of Taylor & Francis revenues were generated in North America, meaning that North American researchers were charged over US$2.27 billion by just two for-profit publishers. The Canadian research councils and the US National Science Foundation were allocated US$9.3 billion in that year. A figure detailing the drain on researcher time. 1. The four-fold drain 1.2 Time The number of papers published each year is growing faster than the scientific workforce, with the number of papers per researcher almost doubling between 1996 and 2022 (Figure 1A). This reflects the fact that publishers’ commercial desire to publish (sell) more material has aligned well with the competitive prestige culture in which publications help secure jobs, grants, promotions, and awards. To the extent that this growth is driven by a pressure for profit, rather than scholarly imperatives, it distorts the way researchers spend their time. The publishing system depends on unpaid reviewer labour, estimated to be over 130 million unpaid hours annually in 2020 alone (9). Researchers have complained about the demands of peer-review for decades, but the scale of the problem is now worse, with editors reporting widespread difficulties recruiting reviewers. The growth in publications involves not only the authors’ time, but that of academic editors and reviewers who are dealing with so many review demands. Even more seriously, the imperative to produce ever more articles reshapes the nature of scientific inquiry. Evidence across multiple fields shows that more papers result in ‘ossification’, not new ideas (10). It may seem paradoxical that more papers can slow progress until one considers how it affects researchers’ time. While rewards remain tied to volume, prestige, and impact of publications, researchers will be nudged away from riskier, local, interdisciplinary, and long-term work. The result is a treadmill of constant activity with limited progress whereas core scholarly practices – such as reading, reflecting and engaging with others’ contributions – is de-prioritized. What looks like productivity often masks intellectual exhaustion built on a demoralizing, narrowing scientific vision. A table of profit margins across industries. The section of text related to this table is below: 1. The four-fold drain 1.1 Money Currently, academic publishing is dominated by profit-oriented, multinational companies for whom scientific knowledge is a commodity to be sold back to the academic community who created it. The dominant four are Elsevier, Springer Nature, Wiley and Taylor & Francis, which collectively generated over US$7.1 billion in revenue from journal publishing in 2024 alone, and over US$12 billion in profits between 2019 and 2024 (Table 1A). Their profit margins have always been over 30% in the last five years, and for the largest publisher (Elsevier) always over 37%. Against many comparators, across many sectors, scientific publishing is one of the most consistently profitable industries (Table S1). These financial arrangements make a substantial difference to science budgets. In 2024, 46% of Elsevier revenues and 53% of Taylor & Francis revenues were generated in North America, meaning that North American researchers were charged over US$2.27 billion by just two for-profit publishers. The Canadian research councils and the US National Science Foundation were allocated US$9.3 billion in that year. The costs of inaction are plain: wasted public funds, lost researcher time, compromised scientific integrity and eroded public trust. Today, the system rewards commercial publishers first, and science second. Without bold action from the funders we risk continuing to pour resources into a system that prioritizes profit over the advancement of scientific knowledge.
November 11, 2025 at 11:52 AM
Reposted by Marcel Stimberg
richarddmorey.bsky.social
"It’s ironic, of course, that much of the research driving our understanding of AI is produced by universities themselves."

Yeah, maybe think about that one for a minute...?
timeshighered.bsky.social Times Higher Education (THE) @timeshighered.bsky.social · 22d
Opinion: “It’s difficult to think of another sector that has so dismally failed to strategically engage with the transformative potential of information technology.”

🖊️ Ian Richardson #highered #EduSky
https://ow.ly/zXc850Xpvbu
November 11, 2025 at 8:36 AM
Reposted by Marcel Stimberg
neural-reckoning.org
Gonna be feeling this when Keir Starmer appoints an even more right wing director of the BBC.
jules.su Jules Suzdaltsev @jules.su · 22d
this is literally never not accurate
November 11, 2025 at 9:13 AM
Reposted by Marcel Stimberg
jules.su
this is literally never not accurate
November 10, 2025 at 6:32 PM
Reposted by Marcel Stimberg
neural-reckoning.org
Talks from #SNUFA 2025 are now available on YouTube:
youtube.com/playlist?lis...
🤖🧠🧪
SNUFA 2025 Workshop - YouTube
Spiking neural networks as universal function approximators (SNUFA) online workshop 2025. For more see http://snufa.net/2025/
youtube.com
November 7, 2025 at 4:59 PM