Personne
Gregory Francis
Cette personne n’est plus à l’EPFL
Publications associées (30)
The temporal dynamics of visual crowding and segmentation
Michael Herzog, Gregory Francis, Mauro Manassi
Perception of a target strongly deteriorates when flanking elements are presented (crowding). Classically, crowding is explained by pooling mechanisms where target and flanker features are combined, e.g., when neurons in higher visual areas with larger rec ...
2022How crowding challenges (feedforward) convolutional neural networks
Michael Herzog, Ben Henrik Lönnqvist, Gregory Francis, Adrien Christophe Doerig, Alban Bornet, Lynn Schmittwilken
Are (feedforward) convolutional neural networks (CNNs) good models for the human visual system? Here, we used visual crowding as a well-controlled psychophysical test to probe CNNs. Visual crowding is a ubiquitous breakdown of object recognition in the hum ...
2021Shrinking Bouma's window: How to model crowding in dense displays
Michael Herzog, Gregory Francis, Adrien Christophe Doerig, Alban Bornet
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 ...
PUBLIC LIBRARY SCIENCE2021When illusions merge
Michael Herzog, Aline Françoise Cretenoud, Gregory Francis
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 ...
2020Running 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 ...
2019Beyond Bouma's window: How to explain global aspects of crowding?
Michael Herzog, Gregory Francis, Adrien Christophe Doerig, Aaron Michael Clarke, Alban Bornet
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 ...
2019Factors underlying visual illusions are illusion-specific but not feature-specific
Michael Herzog, Aline Françoise Cretenoud, Gregory Francis, 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 ...
2019Shrinking Bouma's window: Visual crowding in dense displays
Michael Herzog, Gregory Francis, Adrien Christophe Doerig, Alban Bornet
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 LTD2019About specific and general factors for visual illusions
Michael Herzog, Aline Françoise Cretenoud, Gregory Francis, 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 ...
2018Using 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