certainly took me back

Can we identify consistent attributions in DNNs trained to predict human authenticity judgments of AI-generated images? We find strong consistency within, but not across architectures. Relatedly, some DNNs seem to learn image-quality cues rather than authenticity-specific information.

The GEN AI companies and the publishing companies are dueling it out in lobbying and policy. The issue is who will get to mine our research products and sell our profiles.

The NSF 2027 budget has noted that they will close out the Social, Behavioral, and Economic Science Program (SBE). This is not a good thing. nsf-gov-resources.nsf.gov/files/FY-202...

#BIDS has been extended to #EyeTracking data!

There is now a standard for organizing and sharing eye tracking, covering gaze position, pupil size, meta data, messages, and more. Great news for #OpenScience! 🎉

Martin Szinte et al: www.biorxiv.org/content/10.6...

[Security]: CRITICAL: Malicious litellm_init.pth in litellm 1.82.8 — credential stealer · Issue #24512 · BerriAI/litellm [Security]: CRITICAL: Malicious litellm_init.pth in litellm 1.82.8 PyPI package — credential stealer Summary The litellm==1.82.8 wheel package on PyPI contains a malicious .pth file (litellm_init.p...

Why you should be very careful installing packages from Github: github.com/BerriAI/lite...

Hey Joe.. what popped at me beyond the tiny n test fold, is the strange mass/clumping compared to the training distribution. If the left panel is used as a population proxy (plug-in or via a Dirichlet posterior) an 11-person sample with entropy this low occurs ~1% of the time. Maybe not OOD, but ODD

מהדורה שניה, יוני 1980.

Olivia > Academics, check if your book is on the list of the Anthropic AI $1.5 billion settlement. Each author will get at least $3,000 per book. Claims must be made by March 30th. Repost to help authors whose works were illegally appropriated.
secure.anthropiccopyrightsettlement.com/lookup?cultu...

Applications are open for the 2026/27 MSc in Cognitive Science at @cimecunitrento.bsky.social.

First-call deadline for non-EU applicants: 𝗠𝗮𝗿𝗰𝗵 𝟰, 𝟮𝟬𝟮𝟲.
Apply now: corsi.unitn.it/en/cognitive...

#cimec_unitrento #neuroscience

New Study Says Unfairness Really Ruffles Crows' Feathers A new experiment found crows and ravens have a sense of fairness, just like people and dogs.

www.popsci.com/science/arti...

How does the brain generate predictive models of own actions?

We will soon open a **Postdoc position** to address this question in my lab. If you are interested, please write to moritz.wurm@unitn.it.

this shorter version once cost me 4 days of work
rm * .txt
since then rm is aliased to move files to a trash dir

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...

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

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...

@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...

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”. ...

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...

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)?

top secret - german lessons YouTube video by ubershizzles

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?...

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...

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

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

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."

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

#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

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

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

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…

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...

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 …

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.

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

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 ...

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...

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