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...

CORE COGNITION works towards a unified theory of human cognition, instantiated in models that simulate, predict, and explain human behavior.

Human and macaque studies of inferotemporal cortex (IT) have shaped our understanding of object vision, yet the extent of their representational alignment and the precise nature of this correspondence...

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.

Low-level features of peripheral saccade targets are fed back to early foveal retinotopic cortex in a signal that resembles activation elicited by direct foveal presentation.

This study shows that interaction with objects is an important dimension that shapes the way object categories such as hands and tools are organized in visual cortex and shows that artificial neural n...

Nature Reviews Neuroscience - Top-down and bottom-up neuroscience as collections of practices

An interpretability framework that compares how humans and deep neural networks process images has been presented. Their findings reveal that, unlike humans, deep neural networks focus more on visual ...

Programming is essential for modern research in neuroscience and psychology, but it can quickly become a source of frustration and error. This Primer introduces ten practical principles guiding resear...

This scientific commentary refers to ‘Visual feature processing in a large stroke cohort: evidence against modular organization’ by Lugtmeijer, Sobolewska