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 …

Crowding has become a hot topic in vision research, and some fundamentals are now
widely agreed upon. For the classical crowding task, one would likely agree with the …

In crowding, the perception of a target strongly deteriorates when neighboring elements are
presented. Crowding is usually assumed to have the following characteristics.(a) Crowding …

We are continuously surrounded by a noisy and ever-changing environment. Instead of
analyzing all the elements in a scene, our visual system has the ability to compress an …

Visual crowding is the inability to discriminate objects when presented with nearby flankers
and sets a fundamental limit for conscious perception. Beta oscillations in the parietal cortex …

People often look for objects in their immediate environment, a behaviour known as visual
search. Most of the visual signals used during search come from peripheral vision, outside …

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

In crowding, perception of an object deteriorates in the presence of nearby elements.
Although crowding is a ubiquitous phenomenon, since elements are rarely seen in isolation …

The present study investigated individual differences in how much subjects rely on prior
information, such as expectations or knowledge, when faced with perceptual ambiguity. The …

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 …