Publications de Alban Bornet | EPFL Graph Search

(Un)crowding is pre-attentive

Michael Herzog, Alban Bornet, Yury Markov, Natalia Tiurina

In crowding, perception of a target deteriorates in the presence of nearby flankers. Crowding can be undone when additional flankers are presented, an effect known as uncrowding, which occurs when the flankers group with each other and ungroup from the tar ...

SAGE PUBLICATIONS LTD2022

Dissecting (un)crowding

Michael Herzog, Alban Bornet, Adrien Christophe Doerig, Oh-Hyeon Choung

In crowding, perception of a target deteriorates in the presence of nearby flankers. Surprisingly, perception can be rescued from crowding if additional flankers are added (uncrowding). Uncrowding is a major challenge for all classic models of crowding and ...

2021

A comparative biology approach to DNN modeling of vision: A focus on differences, not similarities

Michael Herzog, Alban Bornet, Adrien Christophe Doerig

Deep neural networks (DNNs) have revolutionized computer science and are now widely used for neuroscientific research. A hot debate has ensued about the usefulness of DNNs as neuroscientific models of the human visual system; the debate centers on to what ...

2021

Global and high-level effects in crowding cannot be predicted by either high-dimensional pooling or target cueing

Michael Herzog, Alban Bornet, Adrien Christophe Doerig, Mauro Manassi, Oh-Hyeon Choung

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, low-level, and feature specific, occurring when information is poo ...

2021

Shrinking Bouma's window: How to model crowding in dense displays

Michael Herzog, Gregory Francis, Alban Bornet, Adrien Christophe Doerig

In crowding, perception of a target deteriorates in the presence of nearby flankers. Traditionally, it is thought that visual crowding obeys Bouma's law, i.e., all elements within a certain distance interfere with the target, and that adding more elements ...

2021

Crowding and the importance of grouping and segmentation processes in human vision

Alban Bornet

Human vision has evolved to make sense of a world in which elements almost never appear in isolation. Surprisingly, the recognition of an element in a visual scene is strongly limited by the presence of other nearby elements, a phenomenon known as visual c ...

EPFL2021

Capsule networks, but not convolutional networks explain global configurational visual effects

Michael Herzog, Alban Bornet, Adrien Christophe Doerig

In human vision, perception of local features depends on all elements in the visual field and their exact configuration. For example, observers performed a vernier discrimination task. When a surrounding square was added to the vernier, the task became muc ...

2019

Using the Neurorobotics Platform to Explain Global Processing in Visual Crowding

Michael Herzog, Gregory Francis, Alban Bornet

SAGE PUBLICATIONS LTD2019

Beyond Bouma's window: How to explain global aspects of crowding?

Michael Herzog, Gregory Francis, Alban Bornet, Adrien Christophe Doerig, Aaron Michael Clarke

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, to date there exists no consensus on how to model it. Previous experiments show ...

2019

Shrinking Bouma's window: Visual crowding in dense displays

Michael Herzog, Gregory Francis, Alban Bornet, Adrien Christophe Doerig

In crowding, perception of a target deteriorates in the presence of nearby flankers. In the traditional feedforward framework of vision, only elements within Bouma’s window interfere with the target and adding more elements always leads to stronger crowdin ...

SAGE PUBLICATIONS LTD2019

Running Large-Scale Simulations on the Neurorobotics Platform to Understand Vision - The Case of Visual Crowding

Michael Herzog, Gregory Francis, Alban Bornet, Egidio Falotico, Alessandro Ambrosano

Traditionally, human vision research has focused on specific paradigms and proposed models to explain very specific properties of visual perception. However, the complexity and scope of modern psychophysical paradigms undermine the success of this approach ...

2019

Using the Neurorobotics platform to explain global processing in visual crowding

Michael Herzog, Gregory Francis, Alban Bornet

The Neurorobotics Platform of the Human Brain Project hosts many different large-scale models that can easily be connected with each other. Here, we linked a deep neural network for saliency computation to a spiking cortical model for visual segmentation ( ...

2018

Crowding asymmetries explained by a model of image segmentation

Michael Herzog, Gregory Francis, Alban Bornet, Adrien Christophe Doerig

In crowding, perception of a target deteriorates when neighboring flankers are presented. Flankers close to the fovea deteriorate performance less strongly than flankers presented peripherally, the well-known crowding asymmetries. For example, we presented ...

2017

Perceptual Grouping and Segmentation: Uncrowding

Michael Herzog, Gregory Francis, Alban Bornet, Adrien Christophe Doerig

Association for Research in Vision and Ophthalmology2017

Crowding asymmetries in a neural model of image segmentation

Michael Herzog, Gregory Francis, Alban Bornet, Adrien Christophe Doerig

Association for Research in Vision and Ophthalmology2017