Sign in

Alireza Modirshanechi

@modirshanechi.bsky.social
1.2K followers 671 following 119 posts

Tenure-track professor and Emmy Noether awardee at the University of Göttingen || Working on computational principles of intelligent decision-making in humans and machines || modirlab.github.io

PostsRepliesMedia
Reposted by Alireza Modirshanechi
Jess Thompson @tsonj.bsky.social · 30/09/2026
Looking for a PhD related to intrinsic motivation? Look no further than this amazing opportunity to work with the brilliant Franziska Brändle on fascinating questions about what we find fun and engaging, using computational modelling and large scale naturalistic datasets. Deadline: 20 October 2026
062
Reposted by Alireza Modirshanechi
nirmoneta.bsky.social @nirmoneta.bsky.social · 29/09/2026
This is SUCH a great opportunity. Franzi is just absolutely great. Spread the word!
071
Reposted by Alireza Modirshanechi
Eric Schulz @ericschulz.bsky.social · 29/09/2026
Incredibly happy and proud to see Franziska starting her own lab in Gießen. Go work with her. You won’t regret it. And she knows better than most just how important a lab’s first PhD student is. 😉
021
Reposted by Alireza Modirshanechi
Franziska Brändle @frabraendle.bsky.social · 29/09/2026
Incredibly excited to announce that I’m starting my own research group at Justus-Liebig-Universität in Gießen as part of the excellence cluster “The Adaptive Mind”! 🥳 I'm looking to fill the first PhD position. If you’re interested, apply here: tinyurl.com/38p3h22p Please spread the word! 🙏
jobs.uni-giessen.de
Doctoral student (m/f/d) Computational Motivation – Justus-Liebig-Universität Gießen
44422
Reposted by Alireza Modirshanechi
Shervin Safavi @neuroprinciplist.bsky.social · 28/09/2026
We are thrilled 🥳 to share that we’re joining forces with @roxana-zeraati.bsky.social to establish a joint research unit, @cmc-unit.bsky.social integrating embodied and natural decision making across species! We also have open PhD and postdoc positions (check below for more info) 🎉
18216
Reposted by Alireza Modirshanechi
Marcel Binz @marcelbinz.bsky.social · 18/09/2026
📢 The CORE COGNITION lab (core-cognition.github.io) is looking to hire another PhD student, working on automated scientific discovery and knowledge representation in cognitive science. Starting date: March to September 2027. 🙏 Please share widely!
core-cognition.github.io
CORE COGNITION
CORE COGNITION works towards a unified theory of human cognition, instantiated in models that simulate, predict, and explain human behavior.
11716
Reposted by Alireza Modirshanechi
megan peters 🧠 @meganakpeters.bsky.social · 12/09/2026
I am not a mathematician, so I am not sure if I can formally sign this, but I wholeheartedly concur and would argue that the same is true for all of science. Yes, we want scientific discovery. But -- like flipping to the back of the textbook to look at the answer key --
1295
Reposted by Alireza Modirshanechi
COSYNE @cosynemeeting.bsky.social · 11/09/2026
📢Have work to share with the computational and systems neuroscience community? Abstract submissions for #COSYNE2027 are now open. Deadline: 18 October 2026, 11:59 p.m. AoE Submit your abstract: www.cosyne.org/abstracts-su... #Neuroscience
06840
Reposted by Alireza Modirshanechi
Charley Wu @thecharleywu.bsky.social · 08/09/2026
Alireza does really cool research! You should go work with him!
141
Reposted by Alireza Modirshanechi
Nivi Mani @nivimani.bsky.social · 07/09/2026
Highly recommend applying to this - heck, I would apply if I could!
151
Reposted by Alireza Modirshanechi
Alireza Modirshanechi @modirshanechi.bsky.social · 15/08/2026
Excited to share that I'll be starting as a junior professor and Emmy Noether awardee at the University of Göttingen this October! 🥳 🚀 I'll be hiring #phd students and #postdoc across #machinelearning, #neuroscience and #cogsci: modirlab.github.io/open-positio... Please spread the word! 🙏
PhD ad informationPostdoc ad informationInformation about Göttingen and equal opportunities
1217059
Alireza Modirshanechi @modirshanechi.bsky.social · 28/08/2026
This is a beautifully written, intriguing piece!
191
Reposted by Alireza Modirshanechi
Ken Miller @kenmiller.bsky.social · 26/08/2026
This is wild. >1/2 of HC synapses disappear in artificial hibernation, come back in same/similar locations & memories intact. ~1/2 of engram synapses-between two memory-tagged cells-are clustered on dendrites, those preferentially spared. Not biggest synapses. 1/ www.science.org/doi/10.1126/...
This shows the visual abstract and a paragraph from the extended abstract of the linked article.
110534
Reposted by Alireza Modirshanechi
Tim Kietzmann @timkietzmann.bsky.social · 23/08/2026
We are hiring a full professor for "Intelligence in biological and artificial systems". If you don't know about the German system yet, let me tell you a little bit about working as a professor at the institute. Thread 👇
13116
Reposted by Alireza Modirshanechi
Arthur Prat @arthurpr4t.bsky.social · 21/08/2026
We broke Weber's law. By manipulating the prior (ie the frequencies of small and large magnitudes), we changed how people's accuracy depended on magnitude. When large magnitudes were more frequent, subjects became more precise about them. This points to efficient coding, dynamically implemented.
15515
Alireza Modirshanechi @modirshanechi.bsky.social · 23/08/2026
I'm SO SICK of the shameless use of LLMs to spit out garbage papers that merely look legitimate. It's a waste of everyone's time, and I'm frustrated that I'm expected to review work the authors didn't even care to read... We need far better monitoring systems to contain this madness.
1210
Reposted by Alireza Modirshanechi
Adrien Doerig @adriendoerig.bsky.social · 21/08/2026
The journal version is out! www.cell.com/trends-open/... AI is turning machine consciousness into a societal issue. Biological Naturalism (BN), the idea that only biological systems can be conscious, is gaining traction. We argue: either BN is untestable, or it is compatible with functionalism.
cell.com
What biology can and cannot tell us about conscious AI
Progress in artificial intelligence is turning machine consciousness from a philosophical curiosity into a societal issue, and has led to criticism of the widespread computational functionalist framew...
45819
Reposted by Alireza Modirshanechi
Can Demircan @candemircan.bsky.social · 20/08/2026
Alireza is both an amazing scientist and a great person. go apply now!
051
Reposted by Alireza Modirshanechi
Sung Kim @sungkim.bsky.social · 19/08/2026
Mathematics in the age of AI by Terence Tao An essay on how the mathematical community might respond to the arrival of AI tools that are capable of performing research-level mathematical tasks. arxiv.org/abs/2608.16753
arxiv.org
Mathematics in the age of AI
An essay, based on a public lecture delivered at the 2026 International Congress of Mathematicians, on how the mathematical community might respond to the arrival of artificial intelligence tools that...
16418
Reposted by Alireza Modirshanechi
Tianyuan Teng @tyteng.bsky.social · 13/08/2026
You'd think people prefer the simplest explanation of an uncertain world — Occam's razor. Our data says no, across 2 modalities, 2 tasks, 8 experiments: people often perceive illusory structure that isn't there and prefer moderate complexity. Out now in Nature Comms! www.nature.com/articles/s41...
nature.com
Human learning of probability distributions is biased toward moderate structural complexity - Nature Communications
Humans build internal models from online observations to adapt to new environments. Here, the authors show that individuals are biased towards building models with moderate structural complexity, rega...
15519
Reposted by Alireza Modirshanechi
Eric Schulz @ericschulz.bsky.social · 15/08/2026
Alireza is a great scientist and a wonderful collaborator. I'm sad to see him leave but very happy for him to take this next step. I'm sure his lab will do amazing work. I would seriously consider joining if I could.
0121
Alireza Modirshanechi @modirshanechi.bsky.social · 15/08/2026
Excited to share that I'll be starting as a junior professor and Emmy Noether awardee at the University of Göttingen this October! 🥳 🚀 I'll be hiring #phd students and #postdoc across #machinelearning, #neuroscience and #cogsci: modirlab.github.io/open-positio... Please spread the word! 🙏
PhD ad informationPostdoc ad informationInformation about Göttingen and equal opportunities
1217059
Reposted by Alireza Modirshanechi
Abraham Zelalem Vollan @azvollan.bsky.social · 06/08/2026
Now in Science: How does the brain’s navigation system allocate its limited representational resources during behavior? We found that grid cells sweep toward locations of interest, providing a potential mechanism for allocating spatial attention in the cognitive map.🧵 science.org/doi/10.1126/...
512150
Reposted by Alireza Modirshanechi
Charley Wu @thecharleywu.bsky.social · 05/08/2026
🚨Now out in Science Advances @science.org: #Parkinson's patients off dopamine medication (PD-) explore too much and exploit too little. Modeling shows they overvalue uncertainty, not that they choose randomly. On levodopa (PD+) they become comparable to controls www.science.org/doi/10.1126/... 🧵👇
science.org
Dopamine depletion in Parkinson’s increases directed but not random exploration
Levodopa restores the balance between exploration and exploitation in Parkinson’s disease.
18018
Reposted by Alireza Modirshanechi
Angela Andersen @angelaandersen.bsky.social · 01/08/2026
Kudos to @science.org for this self-analysis of the peer review process. These kind of data are never shared and don't have to be. Wildly refreshing to see it out in the open. Editorial and peer review dynamics at elite general science journals | Science Advances www.science.org/doi/10.1126/...
science.org
Editorial and peer review dynamics at elite general science journals
Analyses of deidentified data reveal complex interactions that quantify success at elite general science journals.
29044
Reposted by Alireza Modirshanechi
Mandana Samiei @mandanas.bsky.social · 24/07/2026
Presenting our work today at #CogSci2026 🎉 Our findings reveal interesting similarities, and important differences, in how humans and modern AI systems explore causal structures. If you're at the conference, come by and say hello! Today 5:30–7:00pm Reasoning session, P3-L-104
1145
Reposted by Alireza Modirshanechi
Eric Schulz @ericschulz.bsky.social · 21/07/2026
We are looking for a postdoctoral researcher who wants to innovate at the intersection of cognitive science, neuroscience, and machine learning. 📍Munich 📅Flexible start: 10/2026–03/2027 ⏳Full consideration by 14/08/2026 💼Funded for 2 years, extension possible Discover, grow, collaborate, eat cake.
02524
Reposted by Alireza Modirshanechi
Franziska Brändle @frabraendle.bsky.social · 17/07/2026
How do children’s exploration strategies change across development? New preprint with Azzurra Ruggeri, Silja Kessler, and @ericschulz.bsky.social: “Tiny Alchemists: The Developmental Emergence of Empowerment in Exploration” osf.io/preprints/ps... Paper summary below 1/6
1208
Reposted by Alireza Modirshanechi
Guillaume Bellec @bellecguill.bsky.social · 17/07/2026
After my lecture at the FENS-CHEN Cambridge summer school, I shared this coding tutorial (pytorch): It shows how to fit RNN (and spiking RNN) to electrophy to predict optogenetic perturbation from cortical recordings. github.com/guillaumeBel...
github.com
GitHub - guillaumeBellec/perturbation_testing_tutorial
Contribute to guillaumeBellec/perturbation_testing_tutorial development by creating an account on GitHub.
2204
Reposted by Alireza Modirshanechi
Surabhi S Nath @surabhisnath.bsky.social · 16/07/2026
🚨 Paper Alert 🚨 Searching for concepts 🦓⚽ in memory 💭 is fundamental to our cognition. But how exactly do we represent 🗺️ and navigate 🏃‍♀️through concept spaces? osf.io/preprints/psyarxiv/adwzp
osf.io
OSF
1123
Reposted by Alireza Modirshanechi
languagemit.bsky.social @languagemit.bsky.social · 29/06/2026
A brief history of Open Mind 2013: Dick Aslin was disillusioned with Cognition (Elsevier). Nick Lindsay (MIT Press) wanted to create an open access cognitive science journal Nick contacted Dick, and Open Mind started. Editorial, February 2017, issue 1 of Open Mind direct.mit.edu/opmi/article...
direct.mit.edu
Editorial
I am extremely pleased that Open Mind has gone from concept to reality with this inaugural issue of our first volume. It has been a long road. Nick Lindsay at MIT Press had a vision for creating an op...
24817
Reposted by Alireza Modirshanechi
Louis Pezon @lpezon.bsky.social · 30/06/2026
Both brains and RNNs can re-use components of computation across similar tasks or contexts. But what exactly are those “shared components”? How can they be used to solve several tasks? We address these questions in a new preprint with @avm.bsky.social! Link: www.biorxiv.org/content/10.6...
biorxiv.org
Interpretable compositional computation with recurrent neural networks
Flexible cognition utilizes reusable components to enable rapid adaptation of behavior to different contexts or tasks. Analysis of artificial neural networks trained on multiple tasks suggested that t...
16425
Reposted by Alireza Modirshanechi
GerstnerLab @gerstnerlab.bsky.social · 29/06/2026
How can the brain learn the hidden hierarchical structure from high dimensional data? In our latest work, we use synthetic datasets to analyze two classes of bio-plausible learning rules: variants of Direct Feedback Alignment, and local self-supervised learning. We find only the latter succeeds.
12612
Reposted by Alireza Modirshanechi
Emerson Harkin @efharkin.bsky.social · 26/06/2026
Just in time for the start of next week's Braitenberg 100 symposium, I'm excited to share "Dopamine: From prediction to error," a site I built to better understand where the dopamine RPE hypothesis came from and where it might be headed. efharkin.com/s/dopamine-h... 1/3
1145
Reposted by Alireza Modirshanechi
Ethan Mollick @emollick.bsky.social · 19/06/2026
More evidence, from a large-scale study in China, that using AI hurts learning if it undermines mental effort. When homework time drops due to AI use, so do test scores. Across studies, there is a clear theme: AI tutoring in support of classes is good, using AI to "help" with homework is bad.
17411127
Reposted by Alireza Modirshanechi
megan peters 🧠 @meganakpeters.bsky.social · 20/06/2026
I have had wonderful experiences with Open Mind so far. Fair reviews. Speedy. Thoughtful editorial assessment. No pressure to oversell claims or enhance "narrative" for the sake of splash and sparkle (looking at you, vanity journals). Solid science and solid community. Will keep sending stuff there!
0418
Reposted by Alireza Modirshanechi
Grace Lindsay @neurograce.bsky.social · 10/12/2025
Fun paper though direct.mit.edu/opmi/article...
direct.mit.edu
Merits of Curiosity: A Simulation Study
Abstract. ‘Why are we curious?’ has been among the central puzzles of neuroscience and psychology in the past decades. A popular hypothesis is that curiosity is driven by intrinsically generated rewar...
051
Reposted by Alireza Modirshanechi
Mandana Samiei @mandanas.bsky.social · 19/06/2026
We recently investigated how humans and AI reason through causal rules: arxiv.org/abs/2606.06464 Accepted at #CogSci2026. We gave adults and LLMs agency to actively experiment using a Blicket causal game, breaking down their process into the iterative loop shown in the following figure:
13812
Reposted by Alireza Modirshanechi
Zihan Wu @zihan-wu.bsky.social · 16/06/2026
Can we match self-supervised backpropagation using local learning rules? We show it is possible in our new paper accepted by ICML. We achieve: 1. theoretical equivalence to BP in a controlled setup 2. new SOTA for local learning across image datasets 3. same performance as BP on multiple datasets
3339
Reposted by Alireza Modirshanechi
Marcel Binz @marcelbinz.bsky.social · 09/06/2026
Excited to announce that I'll be starting my own lab in Tübingen this October! Hiring at all levels: Postdoc, PhD & RA. Want to work on computational cognitive science at scale? Apply: core-cognition.github.io Reposts and shares much appreciated 🙏
17717
Reposted by Alireza Modirshanechi
Flavio Martinelli @flavioh.bsky.social · 10/06/2026
NEW PAPER. Why do larger networks train better? "Because they contain more candidate *sub*networks that can learn the task" → lottery tickets This popular explanation uses an appealing but misleading metaphor🧵 We propose an intuitive alternative grounded in theory: escape dimensions
519953
Reposted by Alireza Modirshanechi
Roxana Zeraati @roxana-zeraati.bsky.social · 08/06/2026
Only one week left until our PhD application deadline @mpicybernetics.bsky.social. If you’re interested in the intersection of RL, RNNs, and analyses of neural & behavioral data from novel, cross-species foraging experiments, make sure to submit your application by June 15! #NeuroJobs More info👇
02012
Reposted by Alireza Modirshanechi
Mark Rubin @markrubin.bsky.social · 31/05/2026
New meta-analysis of 100 studies in which people evaluated immigrant profiles finds that “one of the most important factors explaining immigrant preference is an irregular entry.” BSky authors: @mamalik.bsky.social, @mfroman.bsky.social Open Access: doi.org/10.1126/scia...
Abstract

In the past decade, an important literature in the social sciences has examined public attitudes toward immigrants in host societies. In it, a prominent experimental method—the conjoint design, where participants are tasked with rating or choosing between randomized profiles—has been used reliably to understand how immigrant characteristics shape admission preferences. We collate replication datasets from 100 individual studies spanning 1,475,403 immigrant profiles with 26 randomized attributes evaluated by 142,817 survey respondents from 36 countries. Meta-analyses reinforce well-established findings: Economic, cultural, humanitarian, and procedural factors all influence evaluations. Meta-reanalyses show that preferences are broadly similar across countries and demographic groups. However, they also reveal two additional patterns: Economic considerations have become more influential over time, and evaluations of individual immigrants differ sharply depending on where people stand on the broader immigration debate. These findings shed light on ongoing debates and point to fruitful areas for future research.
2229
Reposted by Alireza Modirshanechi
Kate Nussenbaum @katenuss.bsky.social · 03/06/2026
How do we predict what’s going to happen next? In a new paper, we @arikahn.bsky.social @licezhang.bsky.social @nathanieldaw.bsky.social @catehartley.bsky.social ask how kids, teens, and adults solve this problem. onlinelibrary.wiley.com/doi/10.1111/...
onlinelibrary.wiley.com
Developmental Change in Structure Learning Reflects a Shift From Recency‐Based to Relational Prediction
Children are adept statistical learners, capable of parsing streams of structured input into meaningful units, but the cognitive processes they engage during learning may differ from those of adults...
15414
Reposted by Alireza Modirshanechi
Miro Grundei @grundei.bsky.social · 25/11/2025
A first review on the #somatosensory MMN—the brain’s surprise signal for #touch. We outline how S1/S2 track probabilities, generate mismatch responses, and that sMMN appears altered across disorders and aging. A window into how the brain learns from #predictive touch. #neuroskyence #neuroscience
onlinelibrary.wiley.com
The Somatosensory Mismatch Negativity
The somatosensory mismatch negativity (sMMN) is a neural signature of automatic deviance detection, reflecting predictive processing in touch. This review synthesizes human, animal, and computational...
091
Reposted by Alireza Modirshanechi
Mackenzie Weygandt Mathis @trackingactions.bsky.social · 01/06/2026
🔥 Our latest work is state of the art 3D pose estimation, with video analysis from a single camera! 🎥 Just train with 3D data, and then only 1 camera is needed! 🖤 Presented this week at #CVPR2026 by lead author Ti Wang! Please repost🩵🙏🏼 xiu-cs.github.io/FMPose3D/ arxiv.org/abs/2602.05755
15918
Reposted by Alireza Modirshanechi
Stefano Palminteri @stepalminteri.bsky.social · 29/05/2026
Our book is officially out and there is even an audiobook version! Unfortunately, it’s not narrated by us, so you’ll miss out on our lovely Italian/French accents (a tragic loss for audiobook history). Apparently, Amazon.fr has only three copies left: THANK YOU! www.amazon.fr/Decision-Mak...
23812
Reposted by Alireza Modirshanechi
Sophia Becker @sobeckerneuro.bsky.social · 27/05/2026
Incredibly grateful to @cmiehl.bsky.social and @gjorjulijana.bsky.social for their thoughtful and spot-on Preview "Novelty beyond counting" of our recent work in Neuron with @modirshanechi.bsky.social and @gerstnerlab.bsky.social! 🧠✨ It's a real honor 🙏 www.cell.com/neuron/fullt...
1237
Reposted by Alireza Modirshanechi
Lisa Spiering @lspiering.bsky.social · 21/01/2026
🎉 My PhD work has just been published in @natcomms.nature.com! How do we learn who caused what - and how much control we had - when outcomes depend on multiple people? We studied how humans do so using a new social learning task, computational modelling and fMRI. www.nature.com/articles/s41... 🧵👇
16222
Reposted by Alireza Modirshanechi
Gro-Tsen @gro-tsen.bsky.social · 23/05/2026
Very insightful short essay by Petra Schwer ( mathstodon.xyz/@PetraSchwer ): ‘The meaning of doing mathematics’ “(Can AI solve all math? What do we actually mean by doing mathematics? How do we communicate mathematics? What is mathematics beyond problem solving?)” arxiv.org/abs/2509.15998
arxiv.org
The meaning of doing mathematics
Can AI solve all math? What do we actually mean by doing mathematics? How do we communicate mathematics? What is mathematics beyond problem solving? This essay is my attempt to answer these question...
22712