Publications by Gregory Francis

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

When illusions merge

Michael Herzog, Gregory Francis, Aline Françoise Cretenoud

We recently found only weak correlations between the susceptibility to various visual illusions. However, we observed strong correlations among different variants of an illusion, suggesting that the visual space of illusions includes several illusion-speci ...

2020

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

Factors underlying visual illusions are illusion-specific but not feature-specific

Michael Herzog, Gregory Francis, Aline Françoise Cretenoud, Lukasz Grzeczkowski

Common factors are ubiquitous. For example, there is a common factor, g, for intelligence. In vision, there is much weaker evidence for such common factors. For example, visual illusion magnitudes correlate only weakly with each other. Here, we investigate ...

2019

About Specific and General Factors for Visual Illusions

Michael Herzog, Gregory Francis, Aline Françoise Cretenoud, Lukasz Grzeczkowski

SAGE PUBLICATIONS LTD2019

The Individual Structure of Visual Space

Michael Herzog, Gregory Francis, Aline Françoise Cretenoud, Lukasz Grzeczkowski, Albulena Jashari-Shaqiri

SAGE PUBLICATIONS LTD2019

Using the Neurorobotics Platform to Explain Global Processing in Visual Crowding

Michael Herzog, Gregory Francis, Alban Bornet

SAGE PUBLICATIONS LTD2019

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

The individual structure of visual space

Michael Herzog, Gregory Francis, Aline Françoise Cretenoud, Lukasz Grzeczkowski, Albulena Jashari-Shaqiri

Common factors are ubiquitous. First, we show that, however in vision, correlations of performance in similar paradigms are low even though test-retest reliability is high. Second, one might expect that correlations increase with increasing age because of ...

2018

About specific and general factors for visual illusions

Michael Herzog, Gregory Francis, Aline Françoise Cretenoud, Lukasz Grzeczkowski

Contrary to studies of audition and cognition, we previously did not find evidence for a general common factor for vision but for many very specific ones. For example, we found strong correlations between 19 versions of the Ebbinghaus illusion, which diffe ...

2018

About individual differences in vision

Michael Herzog, Fred Mast, Gregory Francis, Aaron Michael Clarke, Lukasz Grzeczkowski

In cognition, audition, and somatosensation, performance strongly correlates between different paradigms, which suggests the existence of common factors. In contrast, visual performance in seemingly very similar tasks, such as visual and bisection acuity, ...

Elsevier2017

Neural Dynamics of Grouping and Segmentation Explain Properties of Visual Crowding

Michael Herzog, Gregory Francis, Mauro Manassi

Investigations of visual crowding, where a target is difficult to identify because of flanking elements, has largely used a theoretical perspective based on local interactions where flanking elements pool with or substitute for properties of the target. Th ...

American Psychological Association2017

How many factors are there in vision?

Michael Herzog, Gregory Francis, Aline Françoise Cretenoud, Lukasz Grzeczkowski

Common factors are ubiquitous in cognition, audition, and somato-sensation. Surprisingly, there seems to be no common factor in vision, i.e., visual tasks correlate very weakly with each other. Here, we show that there are likely many very specific factors ...

2017

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

Gregory Francis

Graph Chatbot

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

When illusions merge

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

Shrinking Bouma's window: Visual crowding in dense displays

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

Factors underlying visual illusions are illusion-specific but not feature-specific

About Specific and General Factors for Visual Illusions

The Individual Structure of Visual Space

Using the Neurorobotics Platform to Explain Global Processing in Visual Crowding

Using the Neurorobotics platform to explain global processing in visual crowding

The individual structure of visual space

About specific and general factors for visual illusions

About individual differences in vision

Neural Dynamics of Grouping and Segmentation Explain Properties of Visual Crowding

How many factors are there in vision?

Crowding asymmetries explained by a model of image segmentation

Crowding asymmetries in a neural model of image segmentation

Perceptual Grouping and Segmentation: Uncrowding

Towards a Unifying Model of Crowding: Model Olympics

The Structure of Visual Space