fMRI has considerable potential as a translational tool for understanding risk, prioritizing
interventions, and improving the treatment of brain disorders. However, recent studies have …

Large, open datasets have emerged as important resources in the field of human
connectomics. In this review, the evolution of data sharing involving magnetic resonance …

The rapid development and open-source release of highly performant computer vision
models offers new potential for examining how different inductive biases impact …

So-called 'naturalistic'stimuli have risen in popularity in cognitive, social and affective
neuroscience over the last 15 years. However, a critical property of these stimuli is frequently …

Human cognition recruits distributed neural processes, yet the organizing computational and
functional architectures remain unclear. Here, we characterized the geometry and …

We are now in a time of readily available brain imaging data. Not only are researchers now
sharing data more than ever before, but additionally large-scale data collecting initiatives …

Functional MRI (fMRI) is a powerful technique that has allowed us to characterize visual
cortex responses to stimuli, yet such experiments are by nature constructed based on a …

The human visual cortex enables visual perception through a cascade of hierarchical
computations in cortical regions with distinct functionalities. Here, we introduce an AI-driven …

The process of gyrification, by which the brain develops the intricate pattern of gyral hills and
sulcal valleys, is the result of interactions between biological and mechanical processes …

Rapid simultaneous advances in machine vision and cognitive neuroimaging present an
unparalleled opportunity to (re) assess the current state of artificial models of the human …