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Alex Hess (he/him)

@alexjhess.bsky.social
509 followers 707 following 15 posts

doctoral student 👨‍🎓 in Computational Psychiatry at ETH Zurich | passionate about sports 🚴‍♂️🏒🏓🏋️🏂, food 🌮, causal inference ➡️⬅️, Bayesian stats 📊, and the brain 🧠

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Reposted by Alex Hess (he/him)
ETH Zurich @ethz.ch · 09/07/2025
A milestone for open AI: ETH Zurich and EPFL will release a fully open multilingual language model, trained on CSCS’s “Alps” supercomputer. Built for the public good, this model promotes transparency, inclusion, and innovation. Read more:
ethz.ch
A language model built for the public good
ETH Zurich and EPFL will release a large language model (LLM) developed on public infrastructure. Trained on the “Alps” supercomputer at the Swiss National Supercomputing Centre (CSCS), the new LLM ma...
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Reposted by Alex Hess (he/him)
Tim Kietzmann @timkietzmann.bsky.social · 08/07/2025
Exciting new preprint from the lab: “Adopting a human developmental visual diet yields robust, shape-based AI vision”. A most wonderful case where brain inspiration massively improved AI solutions. Work with @zejinlu.bsky.social @sushrutthorat.bsky.social and Radek Cichy arxiv.org/abs/2507.03168
arxiv.org
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Reposted by Alex Hess (he/him)
danasmall.bsky.social @danasmall.bsky.social · 11/06/2025
For the past couple of years I met weekly with 3 amazing younger scientists @lilweb.bsky.social @debyee.bsky.social @rikepetzschner.bsky.social to share ideas and teach each other. No agenda. It was often the favorite part of my week. Then we started writing. www.sciencedirect.com/science/arti...
sciencedirect.com
The interoceptive origin of reinforcement learning
Rewards play a crucial role in sculpting all motivated behavior. Traditionally, research on reinforcement learning has centered on how rewards guide l…
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Reposted by Alex Hess (he/him)
Debbie Yee @debyee.bsky.social · 11/06/2025
Excited for our @rldmdublin2025.bsky.social workshop at the intersection of #NeuroAI and Aging. Tomorrow from 9 AM -1 PM in LTEE 3 in Hamilton Building, hope to see you there!
Representational Alignment and Aging at RLDM2025. Bridging the gap between socioemotional function in human and artificial intellgence
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Reposted by Alex Hess (he/him)
Katherine Stiles @katherinestiles.org · 03/06/2025
◽MedSky◽ For the first time, researchers have created genetically modified fruit flies that can become addicted to cocaine. The flies will self-administer cocaine if given the option.
neurosciencenews.com
How Cocaine Hijacks the Brain - Neuroscience News
In a groundbreaking study, researchers have engineered fruit flies that voluntarily consume cocaine, creating the first fly model for cocaine addiction.
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Reposted by Alex Hess (he/him)
Andrew Gelman et al. @statmodeling.bsky.social · 01/06/2025
Survey Statistics: it is the people statmodeling.stat.columbia.edu/2025/06/01/s...
statmodeling.stat.columbia.edu
Survey Statistics: it is the people | Statistical Modeling, Causal Inference, and Social Science
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Reposted by Alex Hess (he/him)
The EuroCIM @eurocim.bsky.social · 11/04/2025
EuroCIM2025 came to an end! Thank you to all speakers, participants, and partners who made this year's conference a success. See you next year in Oxford!
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Reposted by Alex Hess (he/him)
Journal of Robustness Reports @robustnessreports.bsky.social · 17/04/2025
We are live! Introducing the "Journal of Robustness Reports" – a Diamond Open-Access journal dedicated to publishing short reanalyses of empirical findings. Check out our website and blog post about the journal: 🌐 scipost.org/JRobustRep 📄 www.bayesianspectacles.org/introducing-...
[Editorial: Introducing the Journal of Robustness Reports]
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Alex Hess (he/him) @alexjhess.bsky.social · 25/03/2025
Are you new to the field of Computational Psychiatry or just looking for resources on applying Bayesian models of cognition to behavioural data? Then check out our new paper "Bayesian Workflow for Generative Modeling in Computational Psychiatry": doi.org/10.5334/cpsy... 1/6
doi.org
Bayesian Workflow for Generative Modeling in Computational Psychiatry | Computational Psychiatry
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Reposted by Alex Hess (he/him)
Konrad Kording @kordinglab.bsky.social · 21/01/2025
Announcing a new week-long program for young computational neuroscience/ behavior professors to talk about rigorous science, mentoring, lab management, and networking in a stunning retreat setting. Do great science as a community and have fun doing so.
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Reposted by Alex Hess (he/him)
The Algonauts Project @algonautsproject.bsky.social · 06/01/2025
(1/4) The Algonauts Project 2025 challenge is now live! Participate and build computational models that best predict how the human brain responds to multimodal movies! Submission deadline: 13th of July. #algonauts2025 #NeuroAI #CompNeuro #neuroscience #AI algonautsproject.com
algonautsproject.com
The Algonauts Project 2025
homepage
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Alex Hess (he/him) @alexjhess.bsky.social · 23/12/2024
🚨 new paper 📄 🚨 I received an early christmas present this year - the publication of my first first-author paper from my PhD 🥳🎁 doi.org/10.3390/e261... 1/n
doi.org
Refining the Allostatic Self-Efficacy Theory of Fatigue and Depression Using Causal Inference
Allostatic self-efficacy (ASE) represents a computational theory of fatigue and depression. In brief, it postulates that (i) fatigue is a feeling state triggered by a metacognitive diagnosis of loss o...
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Reposted by Alex Hess (he/him)
Maarten van Smeden @maartenvsmeden.bsky.social · 23/12/2024
Let us start 2025 in a positive mood: here are 10 methods things researchers can worry *less* about in 2025
media.tenor.com
a countdown clock with the number 10 in the center
ALT: a countdown clock with the number 10 in the center
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Reposted by Alex Hess (he/him)
Michael Gaebler @michaelgaebler.com · 25/11/2024
📣 Come join us for the #MindBrainBody Symposium 2025! 📆 March 10-12, 2025 📍 Berlin & online 🔎 mindbrainbody.de Keynotes: - Ivan de Araujo - Nadine Gogolla - Maria Ribeiro @ribeironeuro.bsky.social - Markus Ullsperger - Tor Wager - Veronica Witte @veronicawitte.bsky.social #interoception
Logo of the MindBrainBody Symposium
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Reposted by Alex Hess (he/him)
Debbie Yee @debyee.bsky.social · 25/11/2024
Excited to see this Special Focus at @jocn.bsky.social on Neural and Computational Mechanisms of Motivation and Decision-Making finally out! Full collection here: direct.mit.edu/jocn/issue/3...
direct.mit.edu
Volume 36 Issue 12 | Journal of Cognitive Neuroscience | MIT Press
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Reposted by Alex Hess (he/him)
CogCompNeuro @cogcompneuro.bsky.social · 12/11/2024
After a great conference in Boston, CCN is going to take place in Amsterdam in 2025! To help the exchange of ideas between #neuroscience, cognitive science, and #AI, CCN will for the first time have full length paper submissions (alongside the established 2 pagers)! Info below👇 #NeuroAI #CompNeuro
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Reposted by Alex Hess (he/him)
Katharina V. Wellstein @kvwellstein.bsky.social · 10/11/2024
I'm putting together a Computational Psychiatry Starter Pack, still tiny! Drop a comment if you feel like you should be added :) go.bsky.app/5PTy9Zj
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Reposted by Alex Hess (he/him)
Nicolas Legrand @nicolaslegrand.bsky.social · 21/10/2024
📄Unlocking Dynamic Neural Networks for Bayesian Modelling with PyHGF Curious about new interplays between neural networks and Bayesian modelling? Check out our latest preprint on dynamic predictive coding networks 👇 Paper: arxiv.org/abs/2410.09206 Code: github.com/ilabcode/pyhgf
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Reposted by Alex Hess (he/him)
samuel mehr @mehr.nz · 14/09/2024
this is pretty amazing: @lucinauddin.bsky.social is taking on the giant, hugely profitable publishers of academic journals, on grounds of antitrust If you'd like to join the case as a plaintiff you can sign up at www.lieffcabraser.com/antitrust/ac... summary of the case:
The Publisher Defendants’ Scheme has three primary components. First, the Publisher Defendants agreed to not compensate scholars for their labor, in particular not to pay for their peer review services (the “Unpaid Peer Review Rule”). In other words, the Publisher Defendants agreed to fix the price of peer review services at zero. The Publisher Defendants also agreed to coerce scholars into providing their labor for nothing by expressly linking their unpaid labor with their ability to get their manuscripts published in the Publisher Defendants’ journals. In the “publish or perish” world of academia, the Publisher Defendants essentially agreed to hold the careers of scholars hostage so that the Publisher Defendants could force them to provide their valuable labor for free.Second, the Publisher Defendants agreed not to compete with each other for manuscripts by requiring scholars to submit their manuscripts to only one journal at a time (the “Single Submission Rule”). The Single Submission Rule substantially reduces competition among the Publisher Defendants, substantially decreasing incentives to review manuscripts promptly and publish meritorious research quickly. The Single Submission Rule also robs scholars of negotiating leverage they otherwise would have had if more than one journal offered to publish their manuscripts. Thus, the Publisher Defendants know that if they offer to publish a manuscript, the submitting scholar has no viable alternative and the Publisher Defendant can then dictate the terms of publication.Third, the Publisher Defendants agreed to prohibit scholars from freely sharing the scientific advancements described in submitted manuscripts while those manuscripts are under peer review, a process that often takes over a year (the “Gag Rule”). From the moment scholars submit manuscripts for publication, the Publisher Defendants behave as though the scientific advancements set forth in the manuscripts are their property, to be shared only if the Publisher Defendants grant permission. Moreover, when the Publisher Defendants select manuscripts for publication, the Publisher Defendants will often require scholars to sign away all intellectual property rights, in exchange for nothing. The manuscripts then become the actual property of the Publisher Defendants, and the Publisher Defendants charge the maximum the market will bear for access to that scientific knowledge.
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Reposted by Alex Hess (he/him)
Olivia Guest · Ολίβια Γκεστ @olivia.science · 14/09/2024
Published! Forgot to share, but @samhforbes.bsky.social reminded me! 😊 I really hope people engage with this because it's so widespread not to be willing to teach women, including a lot of self harming ideas and of course more external sexism. doi.org/10.5117/TVGN...
doi.org
Teaching coding inclusively | Amsterdam University Press Journals Online
Abstract We present our stance on teaching programming with the aim of increasing reflexivity amongst university educators through dissecting and destroying pervasive anti-pedagogical gendered framing...
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Reposted by Alex Hess (he/him)
Blake Richards @tyrellturing.bsky.social · 12/09/2024
1/ Here's a critical problem that the #neuroai field is going to have to contend with: Increasingly, it looks like neural networks converge on the same representational structures - regardless of their specific losses and architectures - as long as they're big and trained on real world data. 🧠📈 🧪
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Reposted by Alex Hess (he/him)
Ashley Tyrer @ashleytyrer.bsky.social · 15/09/2024
Had an absolute blast as always at #CPCZurich2024 - thanks so much to everyone who came to my DCM for Evoked Responses tutorials yesterday 🙏🧠
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