[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...

A new experiment found crows and ravens have a sense of fairness, just like people and dogs.

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...

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...

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”. ...

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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...

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

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

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 ...

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 ...

Nature Reviews Neuroscience - Language is widely distributed throughout the brain

Transfer learning plays a key role in advancing machine learning models, yet conventional supervised pretraining often undermines feature transferability by prioritizing features that minimize the pre...

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...

We studied the relationship between eye movements and resting-state connectivity of the brain in case of congenital blindness. Our findings suggest a retained circuitry between motor cortex and eye m....