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Reposted by Uri Hasson

Shahab Bakhtiari @shahabbakht.bsky.social · 2d

The results challenge the texture-bias hypothesis of Geirhos et al. (2019).

This is one of those cases where a deep, careful review can add real value.

arxiv.org/abs/2509.20234

🧠🤖 #MLSky

ImageNet-trained CNNs are not biased towards texture: Revisiting feature reliance through controlled suppression

The hypothesis that Convolutional Neural Networks (CNNs) are inherently texture-biased has shaped much of the discourse on feature use in deep learning. We revisit this hypothesis by examining limitat...

arxiv.org

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Uri Hasson @urihasson.bsky.social · 16d

@annabavaresco.bsky.social and
@tlmnhut.bsky.social show: supervised pruning of a DNN’s feature space better aligns with human category representations, selects distinct subspaces for different categories, and more accurately predicts people’s preferences for GenAI images.
doi.org/10.1145/3768...

Modeling Human Concepts with Subspaces in Deep Vision Models | ACM Transactions on Interactive Intelligent Systems

Improving the modeling of human representations of everyday semantic categories, such as animals or food, can lead to better alignment between AI systems and humans. Humans are thought to represent su...

doi.org

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Reposted by Uri Hasson

David Amadeus Vogelsang @davogelsang.bsky.social · 20d

New preprint out together with @mheilbron.bsky.social

We find that a stimulus' representational magnitude—the L2 norm of its DNN representation—predicts intrinsic memorability not just for images, but for words too.
www.biorxiv.org/content/10.1...

Representational magnitude as a geometric signature of image and word memorability

What makes some stimuli more memorable than others? While memory varies across individuals, research shows that some items are intrinsically more memorable, a property quantifiable as “memorability”. ...

www.biorxiv.org

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Uri Hasson @urihasson.bsky.social · 20d

Very interesting! Does this mean the most memorable images are just those that maximize activation length in the embedding space, or are there boundary conditions (e.g. within-category effects)?

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Uri Hasson @urihasson.bsky.social · Aug 19

It is part of a meta joke in the opening scene of Top Secret. Here are 77sec to brighten your day youtu.be/2w_mBnzyVTg?...

top secret - german lessons

YouTube video by ubershizzles

youtu.be

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Uri Hasson @urihasson.bsky.social · Aug 7

New lab preprint, led by @tlmnhut.bsky.social. We show that certain topographic CNNs offer computational advantages, including greater weight matrix robustness, better handling of OOD noisy data, and higher entropy of unit activation.
arxiv.org/abs/2508.00043

Improved Robustness and Functional Localization in Topographic CNNs Through Weight Similarity

Topographic neural networks are computational models that can simulate the spatial and functional organization of the brain. Topographic constraints in neural networks can be implemented in multiple w...

arxiv.org

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Reposted by Uri Hasson

arXiv cs.LG Machine Learning @cslg-bot.bsky.social · Aug 4

Nhut Truong, Uri Hasson: Improved Robustness and Functional Localization in Topographic CNNs Through Weight Similarity https://arxiv.org/abs/2508.00043 https://arxiv.org/pdf/2508.00043 https://arxiv.org/html/2508.00043

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Uri Hasson @urihasson.bsky.social · Jul 17

Does it seem like Spam is just mocking us at this point?
"I hope your day is as positive as you are.
We are very fortunate to associate with eminent people like you.... If you dont want to receive our email, reply as Terminate."

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Uri Hasson @urihasson.bsky.social · May 29

I have a 'prior literature' directory exactly for this.

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Reposted by Uri Hasson

Neurophysics Lab, University of Trento @neurophysicstn.bsky.social · May 14

#Calcium_imaging in sleeping #bees: Antennal lobe neurons synchronise stronger during #sleep, likely due to reduced GABAergic coupling. #SNN simulations show reduced #odour processing, similar to human sleep: doi.org/10.1016/j.ne...
Thanks to all collaborators at #CIMeC, e.g. @urihasson.bsky.social

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Reposted by Uri Hasson

CIMeC_UniTrento @cimecunitrento.bsky.social · May 12

Explore vision, motor control & predictive processing with a funded PhD @cimecunitrento.bsky.social

Project: Predictive neural representations of dynamic events, supervisor Moritz Wurm @moritzwurm.bsky.social

🧠 Apply by June 5, 2025
🔗 Info: phd.unitn.it/drcimec

#neuroscience #cognitivescience

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Uri Hasson @urihasson.bsky.social · May 11

It's not just CogSci; see this list of conferences and travel awards funded by SBE in the last decade
www.nsf.gov/awardsearch/...

Advanced Search Results - NSF Award SearchLock

The Advanced Search Results page lists awards that match the specific search criteria provided.

www.nsf.gov

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Uri Hasson @urihasson.bsky.social · May 11

Now online: We used two-photon calcium imaging to provide the first demonstration of how topological signatures of bees’ brain connectivity differ between sleep and wakefulness. Project guided by Albrecht Haase; first author: Sebastián Moguilner.
www.sciencedirect.com/science/arti...

Neuronal correlates of sleep in honey bees

Honey bees Apis mellifera follow the day-night cycle for their foraging activity, entering rest periods during darkness. Despite considerable research…

www.sciencedirect.com

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Uri Hasson @urihasson.bsky.social · Apr 9

if interested in computing distances between domains (measurement-by-channel/feature) then this www.sciencedirect.com/science/arti... is an interesting review/application. This arxiv.org/abs/2411.14633 is more specific to ANN embeddings.

Manipulating and measuring variation in deep neural network (DNN) representations of objects

We explore how DNNs can be used to develop a computational understanding of individual differences in high-level visual cognition given their ability …

www.sciencedirect.com

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Uri Hasson @urihasson.bsky.social · Apr 9

PhD opening. We've been working in recent years on human-oriented and explainable AI, studying interpretable DNN models of conceptual knowledge. Looking for a PhD student (4 years, Trento, Italy) to develop that direction. If interested, get in touch by email: my first name at my last name dot org

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Uri Hasson @urihasson.bsky.social · Mar 11

DNNs can predict human similarity judgments—but why? In a new #XAI study, we introduce Alignment Importance Scores (AIS), a method that improves AI-human alignment and generates heatmaps highlighting the image features that drive this alignment. link.springer.com/article/10.1...

Explaining Human Comparisons Using Alignment-Importance Heatmaps - Computational Brain & Behavior

We present a computational explainability approach for human comparison tasks, using Alignment Importance Score (AIS) heatmaps derived from deep-vision models. The AIS reflects a feature map’s unique ...

link.springer.com

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Reposted by Uri Hasson

Jace D. Flatt, PhD, MPH (They/He) @jaceflatt.bsky.social · Mar 1

Just received notice that our grant was terminated. 5R24AG066599-03
TheRiseRegistry.org

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Uri Hasson @urihasson.bsky.social · Feb 28

Every author is required to serve as a reviewer.

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Uri Hasson @urihasson.bsky.social · Feb 28

ICCV has an interesting policy that can be easily adopted by other societies.

#ICCV2025 @iccv.bsky.social · Feb 28

Check out the changes for #ICCV2025 🌶️

Full details: iccv.thecvf.com/Conferences/...

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Uri Hasson @urihasson.bsky.social · Feb 4

One of the first things to do should be to file a FOIA (Freedom Of Information Act) request to see the reason for the rejection as indicated by the POs internal recommendation (typically reflecting the panel's opinion about intellectual merit/BI) and the DDs decision based on that.

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Reposted by Uri Hasson

Paul Waldman @paulwaldman.bsky.social · Jan 31

Department of Transportation orders all personnel to "identify and eliminate" every order, directive, rule, regulation, policy, notice, guidance document, funding arrangement, or program that even mentions climate change, diversity, or environmental justice

www.transportation.gov/sites/dot.go...

Dept of Transportation memo ordering all personnel to "identify and eliminate" every order, policy, funding arrangement, or program that even mentions climate change, diversity, or environmental justice

160 840 1.2K

Uri Hasson @urihasson.bsky.social · Jan 28

As a former NSF program director, I find it difficult to put into words the extent to which the content and tone of this memo go against the grain of anything and everything that defines merit-based review at NSF.

Former NSF insider cannot articulate just how completely this memo tramples over the concept of merit-based review

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Uri Hasson @urihasson.bsky.social · Jan 9

Interesting analyses from Hanson et al., the strain on scientific publishing. Many more articles, more special issues (namely Frontiers, MDPI), but stagnation in number of PHDs granted. "in 2022 the article total was ∼47% higher than in 2016".
direct.mit.edu/qss/article/...

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Uri Hasson @urihasson.bsky.social · Jan 9

New paper with Giuseppe Notaro presenting a method for quantitative measurement of sighting eye dominance link.springer.com/article/10.3...

Quantifying sighting dominance using on-display projections of monocular and binocular views - Behavior Research Methods

Sighting dominance is an important behavioral property which has been difficult to measure quantitatively with high precision. We developed a measurement method that is grounded in a two-camera model ...

link.springer.com

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Reposted by Uri Hasson

Dan Lametti @daniellametti.com · Jan 7

The neurobiology of language does not operate in a vat. An important perspective from the @thelablab.bsky.social and colleagues: "Language is widely distributed throughout the brain" www.nature.com/articles/s41...

Language is widely distributed throughout the brain - Nature Reviews Neuroscience

Nature Reviews Neuroscience - Language is widely distributed throughout the brain

www.nature.com

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