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Milena Rmus

@milenamr7.bsky.social
124 followers 107 following 21 posts

an aspiring human doing AI/cogsci research most of the time learning how to tattoo some of the time milenaccnlab.github.io

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Reposted by Milena Rmus
Eric Schulz @ericschulz.bsky.social · 03/11/2025
🚀 We are hiring! 🚀 🔍 Join us as a Postdoctoral Researcher (fully-funded) at the Helmholtz Institute for Human-Centered AI in Munich.
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Franziska Brändle @frabraendle.bsky.social · 02/10/2025
What influences whether people have fun with a task? Our paper “Leveling up fun: learning progress, expectations and success influence enjoyment in video games” with @thecharleywu.bsky.social and @ericschulz.bsky.social now in Scientific Reports! rdcu.be/eI069 Paper summary below 1/4
rdcu.be
Leveling up fun: learning progress, expectations, and success influence enjoyment in video games
Scientific Reports - Leveling up fun: learning progress, expectations, and success influence enjoyment in video games
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Milena Rmus @milenamr7.bsky.social · 30/09/2025
Also happy to announce that our Automated scientific minimization of regret paper got accepted to the AI4Science workshop at #NeurIPS - arxiv.org/abs/2505.17661 with @marcelbinz.bsky.social, @akjagadish.bsky.social & @ericschulz.bsky.social
arxiv.org
Automated scientific minimization of regret
We introduce automated scientific minimization of regret (ASMR) -- a framework for automated computational cognitive science. Building on the principles of scientific regret minimization, ASMR leverag...
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Reposted by Milena Rmus
Alireza Modirshanechi @modirshanechi.bsky.social · 28/09/2025
New in @pnas.org: doi.org/10.1073/pnas... We study how humans explore a 61-state environment with a stochastic region that mimics a “noisy-TV.” Results: Participants keep exploring the stochastic part even when it’s unhelpful, and novelty-seeking best explains this behavior. #cogsci #neuroskyence
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Milena Rmus @milenamr7.bsky.social · 22/09/2025
Happy to announce our paper got accepted to #NeurIPS! @akjagadish.bsky.social @marvinmathony.bsky.social @ericschulz.bsky.social & Tobi Ludwig arxiv.org/abs/2502.00879
arxiv.org
Generating Computational Cognitive Models using Large Language Models
Computational cognitive models, which formalize theories of cognition, enable researchers to quantify cognitive processes and arbitrate between competing theories by fitting models to behavioral data....
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Reposted by Milena Rmus
Marcel Binz @marcelbinz.bsky.social · 02/07/2025
Excited to see our Centaur project out in @nature.com. TL;DR: Centaur is a computational model that predicts and simulates human behavior for any experiment described in natural language.
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Samuel Liebana @samuel-liebana.bsky.social · 15/06/2025
Does the brain learn by gradient descent? It's a pleasure to share our paper at @cp-cell.bsky.social, showing how mice learning over long timescales display key hallmarks of gradient descent (GD). The culmination of my PhD supervised by @laklab.bsky.social, @saxelab.bsky.social and Rafal Bogacz!
cell.com
Dopamine encodes deep network teaching signals for individual learning trajectories
Longitudinal tracking of long-term learning behavior and striatal dopamine reveals that dopamine teaching signals shape individually diverse yet systematic learning trajectories, captured mathematical...
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Milena Rmus @milenamr7.bsky.social · 26/05/2025
Preprint update, co-led with @akjagadish.bsky.social, with @marvinmathony.bsky.social, Tobias Ludwig and @ericschulz.bsky.social!
arxiv.org
Generating Computational Cognitive Models using Large Language Models
Computational cognitive models, which formalize theories of cognition, enable researchers to quantify cognitive processes and arbitrate between competing theories by fitting models to behavioral data....
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Reposted by Milena Rmus
Rachit Dubey @rachitdubey.bsky.social · 17/04/2025
🚨 New in Nature Human Behavior! 🚨 Binary climate data visuals amplify perceived impact of climate change. Both graphs in this image reflect equivalent climate change trends over time, yet people consistently perceive climate change as having a greater impact in the right plot than the left. 👇1/n
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Marcel Binz @marcelbinz.bsky.social · 09/04/2025
We are looking for two PhD students at our institute in Munich. Both postions are open-topic, so anything between cognitive science and machine learning is possible. More information: hcai-munich.com/PhDHCAI.pdf Feel free to share broadly!
hcai-munich.com
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The Onion @theonion.com · 08/04/2025
Nestlé Buys E.Coli For $2.3 Billion
theonion.com
Nestlé Buys E.Coli For $2.3 Billion
VEVEY, SWITZERLAND—With the food conglomerate saying the acquisition made sense given its longstanding strategic partnership with the pathogen, Nestlé released a statement Friday confirming it had pur...
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John Chen @johnchen.com.au · 29/03/2025
hear hear
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Marvin Mathony @marvinmathony.bsky.social · 23/03/2025
very happy to be presenting this at @cosynemeeting.bsky.social
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The Onion @theonion.com · 01/03/2025
Son-Of-A-Bitch Mouse Solves Maze Researchers Spent Months Building theonion.com/son-of-...
Son-Of-A-Bitch Mouse Solves Maze Researchers Spent Months Building
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Mirko Thalmann @mirkothm.bsky.social · 28/02/2025
Every experience is unique 🌟 light shifts, angles change, yet we recognize objects effortlessly. How do our minds do this? And (how) do they differ from machines? In our new preprint with @ericschulz.bsky.social, we review human generalization and compare it to machine generalization: osf.io/k6ect
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Milena Rmus @milenamr7.bsky.social · 26/02/2025
About a month late posting this, but here's a new project with @ericschulz.bsky.social, @akjagadish.bsky.social, @marvinmathony.bsky.social and Tobias Ludwig We are using LLMs to propose cognitive models in learning and decision making data. Presenting this work at RLDM! arxiv.org/abs/2502.00879
arxiv.org
Towards Automation of Cognitive Modeling using Large Language Models
Computational cognitive models, which formalize theories of cognition, enable researchers to quantify cognitive processes and arbitrate between competing theories by fitting models to behavioral data....
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Reposted by Milena Rmus
Adam Bonica @adambonica.bsky.social · 20/02/2025
The DOGE firings have nothing to do with “efficiency” or “cutting waste.” They’re a direct push to weaken federal agencies perceived as liberal. This was evident from the start, and now the data confirms it: targeted agencies overwhelmingly those seen as more left-leaning. 🧵⬇️
Scatterplot titled “Empirical Evidence of Ideological Targeting in Federal Layoffs: Agencies seen as liberal are significantly more likely to face DOGE layoffs.”
	•	The x-axis represents Perceived Ideological Leaning of federal agencies, ranging from -2 (Most Liberal) to +2 (Most Conservative), based on survey responses from over 1,500 federal executives.
	•	The y-axis shows Agency Size (Number of Staff) on a logarithmic scale from 1,000 to 1,000,000.

Each point represents a federal agency:
	•	Red dots indicate agencies that experienced DOGE layoffs.
	•	Gray dots indicate agencies with no layoffs.

Key Observations:
	•	Liberal-leaning agencies (left side of the plot) are disproportionately represented among red dots, indicating higher layoff rates.
	•	Notable targeted agencies include:
	•	HHS (Health & Human Services)
	•	EPA (Environmental Protection Agency)
	•	NIH (National Institutes of Health)
	•	CFPB (Consumer Financial Protection Bureau)
	•	Dept. of Education
	•	USAID (U.S. Agency for International Development)
	•	The National Nuclear Security Administration (DOE), despite its conservative leaning (+1 on the scale), is an exception among targeted agencies.
	•	A notable outlier: the Department of Veterans Affairs (moderately conservative) also faced layoffs despite its size.

Takeaway:

The figure visually demonstrates that DOGE layoffs disproportionately targeted liberal-leaning agencies, supporting claims of ideological bias. The pattern reveals that layoffs were not driven by agency size or budget alone but were strongly associated with perceived ideology.

Source: Richardson, Clinton, & Lewis (2018). Elite Perceptions of Agency Ideology and Workforce Skill. The Journal of Politics, 80(1).
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annecollins.bsky.social @annecollins.bsky.social · 19/02/2025
Check out our new work from Jennifer Senta, with Sonia Bishop, looking at how physiological anxiety relates to impairments in both working memory and reinforcement learning processes www.biorxiv.org/content/10.1...
biorxiv.org
Dual process impairments in reinforcement learning and working memory systems underlie learning deficits in physiological anxiety
Anxiety has been robustly linked to deficits in frontal executive function including working memory (WM) and attentional control processes. However, although anxiety has also been associated with impa...
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Milena Rmus @milenamr7.bsky.social · 17/02/2025
Not one, but TWO cool preprints by Jennifer Senta! First preprint (with Anne Collins, Peter Dayan and Sonia Bishop) has a really cool use of modeling aimed at dissociating mechanisms underlying depression and anxiety-related phenotypes: osf.io/preprints/ps...
osf.io
OSF
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Eric Schulz @ericschulz.bsky.social · 29/01/2025
In our latest article, published in @pnas.org and led by @marcelbinz.bsky.social and Stephan Alaniz, we got together four diverse groups of scientists to reflect on how LLMs should affect science. From treating them like co-authors to using other tools instead, many interesting arguments emerged.
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Nature is Amazing @amazingnatural.bsky.social · 19/12/2024
What do you suppose they are talking about?
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Pete Hitchcock @pf-hitchcock.bsky.social · 21/11/2024
Hi new followers! 👋 My lab has lots of projects underway studying why *mental behavior* goes off the rails — leading to thinking patterns like rumination and worry 🌀 — and how we can make it more effective. * Sketch of our approach: tinyurl.com/r3tvmbn9 * Lab website: www.translational-lab.com
translational-lab.com
Home
The Translational Lab focuses on when and why decision-making goes awry in depression and anxiety disorders and on developing potent and scalable interventions to improve it. We leverage careful expe...
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Milena Rmus @milenamr7.bsky.social · 19/11/2024
I don't use this app to post contemplative things, but... since the application deadlines for graduate school are approaching (some might have already passed?) here are some musings that have been churning in my noggin for years now that I would like to dump somewhere
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Reposted by Milena Rmus
Alireza Modirshanechi @modirshanechi.bsky.social · 18/11/2024
🚨Preprint alert🚨 In an amazing collaboration with @lucasgruaz.bsky.social, S Becker, & J Brea, we explored a major puzzle in #neuroscience & #psychology: **What are the merits of curiosity?** 🧠🧑‍🔬🧪 osf.io/preprints/ps... 1/7
osf.io
OSF
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George Takei @georgetakei.bsky.social · 16/11/2024
*Oklahoma’s
Tweet from OK school’s superintendent Ryan Walters: 

“The Bible is back in Oklahomas classrooms.  We are getting our kids back on track.”

It’s missing the apostrophe in Oklahomas
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aaron bornstein @aaronbornstein.bsky.social · 13/10/2023
New lab paper! Memory precision and age each affect different decision systems. The lab's first foray into cognitive aging, fearlessly lead by Dr. Sharon Noh. Details in her 🐦🧵 twitter.com/sharon_noh/s... - and out now in Scientific Reports: www.nature.com/articles/s41...
nature.com
Memory precision and age differentially predict the use of decision-making strategies across the lif...
Scientific Reports - Memory precision and age differentially predict the use of decision-making strategies across the lifespan
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