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Mick Bonner

@mickbonner.bsky.social
344 followers 143 following 42 posts

Assistant Professor of Cognitive Science at Johns Hopkins. My lab studies human vision using cognitive neuroscience and machine learning. bonnerlab.org

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Reposted by Mick Bonner
Martin Hebart @martinhebart.bsky.social · 25/09/2026
What is the nature of universal representations in AI models, and what determines whether they emerge? Our paper accepted at #neurips2026 led by @florianmahner.bsky.social & @rothj.bsky.social addressed these questions comparing 162 vision models, with intriguing results. arxiv.org/abs/2605.13675 🧵
arxiv.org
Characterizing Universal Object Representations Across Vision Models
Deep neural networks trained with different architectures, objectives, and datasets have been reported to converge on similar visual representations. However, what remains unknown is which visual prop...
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re-vision-init.bsky.social @re-vision-init.bsky.social · 01/08/2026
(1/6) Do our visual neuroscience findings actually replicate? And do they generalize beyond the datasets they were found in? We've lauched re:vision, a community-driven initiative to answer these questions, and we are looking for scientistis to participate. re-vision-initiative.org
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Mick Bonner @mickbonner.bsky.social · 22/07/2026
Super excited about this!
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Reposted by Mick Bonner
Martin Hebart @martinhebart.bsky.social · 18/05/2026
Today at #VSS2026 we are introducing re:vision, a community driven replication/generalization initiative based on our newly released LAION-fMRI dataset. Come to the satellite at 2pm to learn more about it & why you may want to participate! The room Blue Heron is in the upstairs region of the lobby.
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Martin Hebart @martinhebart.bsky.social · 17/05/2026
I'm proud to say we are releasing LAION-fMRI, a densely sampled 7T fMRI dataset of natural images, with very broad stimulus sampling for testing countless hypotheses and for deeply exploring brain representations. The dataset is now available at laion-fmri.hebartlab.com What does LAION-fMRI offer? 🧵
laion-fmri.hebartlab.com
LAION-fMRI - a 7T fMRI dataset of human vision
LAION-fMRI (LfMRI / LAION MRI dataset): 5 subjects, 25,052 launch-release natural images, 165 acquired 7T fMRI sessions with single-trial GLMsingle betas, retinotopy, localizers, and diffusion.
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jane-yang.bsky.social @jane-yang.bsky.social · 16/05/2026
Children acquire object category representations from their everyday experiences in the first few years of life. What do the inputs to this learning process actually look like? New preprint! arxiv.org/abs/2605.14990
arxiv.org
Characterizing the visual representation of objects from the child's view
Children acquire object category representations from their everyday experiences in the first few years of life. What do the inputs to this learning process look like? We analyzed first-person videos ...
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Jorge Morales @jorgemorales.me · 14/05/2026
Vision Science's Christmas is almost here! Our lab will present work —including collaborations with the one and only @meganakpeters.bsky.social — on mental imagery & vividness, LLMs, advanced decoding of reality monitoring signals in fMRI, pupillometry of fake light & visual discomfort! #vss2026
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Chaz Firestone @chazfirestone.bsky.social · 15/05/2026
It's #VSS2026! SO excited about the projects we've brought with us this year, and of course #phiVis to close things out. Come say hi, and don't forget to grab your lab 'merch' 👀 perception.jhu.edu/vss/
A lab 'ad' laying out VSS 2026 presentations from the Perception & Mind Lab. More information can be found at https://perception.jhu.edu/vss/
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Leyla Isik @lisik.bsky.social · 14/05/2026
Heading to #vss2026? Check out the presentations from our lab @vssmtg.bsky.social
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Mick Bonner @mickbonner.bsky.social · 16/05/2026
Excited for the lab's presentations at #VSS2026!
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Martin Hebart @martinhebart.bsky.social · 16/05/2026
Finally, today is the day: Josefine Zerbe will present and release our new multi-echo 7T fMRI dataset LAION-fMRI during #VSS2026, with >30 fMRI session per subject and unprecedented stimulus diversity. Come to Talk Room 1 (Scene perception) today at 5:15. Details will follow in a separate thread!
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Zejin Lu @zejinlu.bsky.social · 11/05/2026
Now out in Nature Machine Intelligence @NatMachIntell “Adopting a human developmental visual diet yields robust and shape-based AI vision”: doi.org/10.1038/s422.... A wonderful case where brain inspiration improved AI. With @martisamuser.bsky.social, Radek Cichy and @timkietzmann.bsky.social .
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Iris Groen @irisgroen.bsky.social · 12/05/2026
EXCITED to travel to #VSS2026 to contribute 2 talks and 2 posters from our lab! Me and @niklasmuller.bsky.social will talk scene encoding models on Fri & Sat, @sargechris.bsky.social and @annewzonneveld.bsky.social will discuss their cool work on video models on Tue (schedule👇for exact times).
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Chris Baker @cibaker.bsky.social · 24/03/2026
The Laboratory of Brain and Cognition at NIH is hosting a two-day symposium on 'Foundations and Frontiers in Cognitive Neuroscience' in honor of Dr. Alex Martin, to be held at NIH (with online videocast) on April 7th-8th, 2026. Register to attend online or in-person at: bit.ly/4bYlbxw
Picture of Alex Martin, National Institute of Mental Health
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Kamila Maria Jozwik @kamilajozwik.bsky.social · 23/03/2026
postdoc and PhD positions in visual cognitive computational neuroscience in my lab at the University of Cambridge kamilajozwik.com/join_lab.html
kamilajozwik.com
Kamila Jozwik - Join lab
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Andrew Lampinen @lampinen.bsky.social · 17/03/2026
Pleased to share that our paper "Representation Biases: Variance is Not Always a Good Proxy for Importance" is now out as Theory/New Concepts paper in eNeuro! www.eneuro.org/content/13/3... 1/
eneuro.org
Representation Biases: Variance Is Not Always a Good Proxy for Importance
A central approach in neuroscience is to analyze neural representations as a means to understand a system's function, through the use of methods like principal component analysis, regression, and repr...
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Manasi Malik @manasimalik.bsky.social · 26/02/2026
Excited to share new work on how the brain makes social inferences from visual input! 🧠👯‍♂️ (With @lisik.bsky.social , @shariliu.bsky.social, @tianminshu.bsky.social , and Minjae Kim!) www.biorxiv.org/content/10.6...
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tyler bonnen @tylerbonnen.bsky.social · 26/02/2026
excited to share some recent work! neural networks trained on multi-view sensory data are the first to match human-level 3D shape perception we predict human accuracy, error patterns, and reaction time—all zero-shot, no training on experimental data arxiv.org/abs/2602.17650 1/🧠
arxiv.org
Human-level 3D shape perception emerges from multi-view learning
Humans can infer the three-dimensional structure of objects from two-dimensional visual inputs. Modeling this ability has been a longstanding goal for the science and engineering of visual intelligenc...
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Vlad Ayzenberg @vayzenb.bsky.social · 28/01/2026
This paper was an awesome collaborative effort of a @fitngin.bsky.social working group. It provides a detailed review of how DNNs can be used to support dev neuro research @lauriebayet.bsky.social and I wrote the network modeling section about how DNNs can be used to test developmental theories 🧵
sciencedirect.com
Deep learning in fetal, infant, and toddler neuroimaging research
Artificial intelligence (AI) is increasingly being integrated into everyday tasks and work environments. However, its adoption in medical image analys…
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Rhodri Cusack @rhodricusack.bsky.social · 02/02/2026
Infants organise their visual world into categories at two-months-old! So happy to see these results published - congratulations Cliona and the rest of the FOUNDCOG team.
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Mick Bonner @mickbonner.bsky.social · 30/01/2026
New paper from our lab on the behavioral significance of high-dimensional neural representations!
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Iris Groen @irisgroen.bsky.social · 16/01/2026
I have a PhD opening for my #VIDI BrainShorts project 📽️🧠🤖! Are you or do you know an ambitious, recent (or almost) MSc graduate with a background in NeuroAI and interest in large-scale data collection and video perception? Check out our vacancy! (deadline Feb 15). werkenbij.uva.nl/en/vacancies...
werkenbij.uva.nl
Vacancy — PhD Position in NeuroAI for Video Perception in the Human Brain
<p><span>Are you interested in using AI to unravel the mysteries of the brain? Do you want to perform cutting-edge NeuroAI research and leverage deep learning to understand human vision? Then check out the vacancy below and apply for a PhD position in this exciting research direction.</span></p>
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Dirk Bernhardt-Walther @dirkbwalther.bsky.social · 09/01/2026
Wonderful article about our recent paper in @pnasnexus.org! Thanks, @sachapfeiffer.bsky.social and @mickbonner.bsky.social! @yikai-tang.bsky.social @uoftpsychology.bsky.social @artsci.utoronto.ca @utoronto.ca
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Russell Epstein @russellepstein.bsky.social · 07/01/2026
Our new paper in @sfnjournals.bsky.social shows different neural systems for integrating views into places--PPA integrates views *of* a location (e.g., views of a landmark), while RSC integrates views *from* a location (e.g., views of a panorama). Work by the bluesky-less Linfeng Tony Han.
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Andrew Lampinen @lampinen.bsky.social · 16/12/2025
Why isn’t modern AI built around principles from cognitive science or neuroscience? Starting a substack (infinitefaculty.substack.com/p/why-isnt-m...) by writing down my thoughts on that question: as part of a first series of posts giving my current thoughts on the relation between these fields. 1/3
infinitefaculty.substack.com
Why isn’t modern AI built around principles from cognitive science?
First post in a series on cognitive science and AI
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Grace Lindsay @neurograce.bsky.social · 08/12/2025
Spread the word: I'm looking to hire a postdoc to explore the concept of attention (as studied in psych/neuro, not the transformer mechanism) in large Vision-Language Models. More details here: lindsay-lab.github.io/2025/12/08/p... #MLSky #neurojobs #compneuro
lindsay-lab.github.io
Lindsay Lab - Postdoc Position
Artificial neural networks applied to psychology, neuroscience, and climate change
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Mick Bonner @mickbonner.bsky.social · 15/12/2025
Prediction: task-based optimization will ultimately prove to have a relatively minor role in DNN models of the ventral stream. Although tasks (including self-supervised ones) are currently crucial, there are signs that a simpler approach is possible. A thread:
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Mick Bonner @mickbonner.bsky.social · 12/12/2025
Hopkins Cog Sci is hiring! We have two open faculty positions: one in vision, and one language. Please repost!
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UniReps @unireps.bsky.social · 12/12/2025
📢The UniReps x @ellis.eu speaker series is back! Come join us in our next appointment 18th December 4 pm CET with @meenakshikhosla.bsky.social and Raj Magesh Gauthaman🔵🔴
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Susan Wardle @susanwardle.bsky.social · 11/12/2025
Now out in #JNeurosci -- we found changes in medial parietal cortex after manual exploration of everyday real-world objects doi.org/10.1523/JNEU... with Beth Rispoli, Vinai Roopchansingh & @cibaker.bsky.social
photo of a human hand holding a tiny gold analog clock, two brain pictures showing fMRI results in medial parietal cortex on the inflated cortical surface (one brain map is thresholded, the other is not)
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Mick Bonner @mickbonner.bsky.social · 11/12/2025
Dimensionality reduction may be the wrong approach to understanding neural representations. Our new paper shows that across human visual cortex, dimensionality is unbounded and scales with dataset size—we show this across nearly four orders of magnitude. journals.plos.org/ploscompbiol...
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