The human visual system is an intricate network of brain regions that enables us to recognize
the world around us. Despite its abundant lateral and feedback connections, object …

Although manipulations of visual and auditory media are as old as media themselves, the
recent entrance of deepfakes has marked a turning point in the creation of fake content. …

Artificial neural networks (ANNs) inspired by biology are beginning to be widely used to
model behavioural and neural data, an approach we call ‘neuroconnectionism’. ANNs have …

The goal of computational neuroscience is to find mechanistic explanations of how the nervous
system processes information to support cognitive function and behaviour. At the heart of …

Deep neural networks provide the current best models of visual information processing in
the primate brain. Drawing on work from computer vision, the most commonly used networks …

Deep neural networks (DNNs) excel at visual recognition tasks and are increasingly used
as a modeling framework for neural computations in the primate brain. Just like individual …

Deep feedforward neural network models of vision dominate in both computational neuroscience
and engineering. The primate visual system, by contrast, contains abundant recurrent …

Deep neural networks (DNNs) trained on object recognition provide the best current models
of high-level visual cortex. What remains unclear is how strongly experimental choices, such …

Advances in artificial intelligence and deep neural networks have led to a rise in synthetic
media, ie, automatically and artificially generated or manipulated photo, audio, and video …

Eye movement research is a highly active and productive research field. Here we focus on
how the embodied nature of eye movements can act as a window to the brain and the mind. …