🚀 We are hiring! 🚀 🔍 Join us as a Postdoctoral Researcher (fully-funded) at the Helmholtz Institute for Human-Centered AI in Munich.
Milena Rmus
@milenamr7.bsky.social
an aspiring human doing AI/cogsci research most of the time learning how to tattoo some of the time https://milenaccnlab.github.io/
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
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
rdcu.be
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
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...
arxiv.org
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
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
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
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....
arxiv.org
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.
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!
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...
cell.com
Preprint update, co-led with @akjagadish.bsky.social, with @marvinmathony.bsky.social, Tobias Ludwig and @ericschulz.bsky.social!
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....
arxiv.org
🚨 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
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
very happy to be presenting this at @cosynemeeting.bsky.social
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
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
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
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....
arxiv.org
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. 🧵⬇️
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...
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...
biorxiv.org
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
osf.io
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.
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
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...
translational-lab.com
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
🚨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
osf.io
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...
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
nature.com