The human visual system provides us with a rich and meaningful percept of the world, transforming retinal signals into visuo-semantic representations. For a model of these representations, here we lev...

Using in silico neuroscience, Gifford et al. developed a neural control algorithm to modulate the representational relationships between visual cortical areas, revealing how these areas jointly repres...

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Large-scale visual neural datasets such as the Natural Scenes Dataset (NSD) are boosting NeuroAI research by enabling computational models of the brain with performances beyond what was possible just ...

Flexible learning requires humans to adjust their behaviour to uncertainty. While normative learning models explain many adaptive behaviours, systematic biases-arising from inaccurate assumptions or c...

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Human vision is mediated by a complex interconnected network of cortical brain areas jointly representing visual information. While these areas are increasingly understood in isolation, their represen...