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 …

Peripheral vision is fundamental for many real-world tasks, including walking, driving, and
aviation. Nonetheless, there has been no effort to connect these applied literatures to …

A set of phenomena known as crowding reveal peripheral vision's vulnerability in the face of
clutter. Crowding is important both because of its ubiquity, making it relevant for many real …

Recent work questions whether previously reported unconscious perceptual effects are
genuinely unconscious, or due to weak conscious perception. Some philosophers and …

Classically, visual processing is described as a cascade of local feedforward computations.
Feedforward Convolutional Neural Networks (ffCNNs) have shown how powerful such …

Abstract Feedforward Convolutional Neural Networks (ffCNNs) have become state-of-the-art
models both in computer vision and neuroscience. However, human-like performance of …

Sensory processing necessitates discarding some information in service of preserving and
reformatting more behaviorally relevant information. Sensory neurons seem to achieve this …

Summary In crowding, 1, 2, 3, 4, 5, 6, 7 objects that can be easily recognized in isolation
appear jumbled when surrounded by other elements. 8 Traditionally, crowding is explained …

In visual crowding, the perception of a target deteriorates in the presence of nearby flankers.
Traditionally, target-flanker interactions have been considered as local, mostly deleterious …

Crowding occurs when surrounding objects (flankers) impair target perception. A key
property of crowding is the weaker interference when target and flankers strongly differ on a …