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 everyday life, we are constantly surrounded by complex and cluttered scenes. In such
cluttered environments, visual perception is primarily limited by crowding, the deleterious …

The hard problem of consciousness is the problem of explaining how we experience qualia
or phenomenal experiences, such as seeing, hearing, and feeling, and knowing what they …

Crowding is the failure to recognize an object due to surrounding clutter. Our visual
crowding survey measured 13 crowding distances (or “critical spacings”) twice in each of 50 …

Visual crowding refers to the phenomenon where a target object that is easily identifiable in
isolation becomes difficult to recognize when surrounded by other stimuli (distractors). Many …

Perceptual organization concerns the organization of people's perception into meaningful,
structured entities—often wholes containing parts, with specific interrelationships among the …

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 …

Our visual environment is full of texture—“stuff” like cloth, bark, or gravel as distinct from
“things” like dresses, trees, or paths—and humans are adept at perceiving subtle variations …