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Adrien Christophe Doerig

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Related publications (39)

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A new empirical challenge for local theories of consciousness

Adrien Christophe Doerig

Local theories of consciousness state that one is conscious of a feature if it is adequately represented and processed in sensory brain areas, given some background conditions. We challenge the core prediction of local theories based on long-lasting postdi ...

2021

Crowding asymmetries explained by a model of image segmentation

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

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

Building perception block by block: a response to Fekete et al

Michael Herzog, Frank Scharnowski, Adrien Christophe Doerig

Is consciousness a continuous stream, or do percepts occur only at certain moments of time? This age-old question is still under debate. Both positions face difficult problems, which we proposed to overcome with a 2-stage model, where unconscious processin ...

Oxford University Press (OUP)2019

How stable is perception in #TheDress and #TheShoe?

Michael Herzog, Adrien Christophe Doerig, Leila Drissi Daoudi - Kleinbauer

#TheDress is perceived by some people as black and blue while others perceive it as white and gold. We have previously shown that the first encounter with #TheDress strongly biases its perception. This percept remained stable during the experiment, suggest ...

2020

Fixing the problems of deep neural networks will require better training data and learning algorithms

Adrien Christophe Doerig, Matthias Bethge, Martin Schrimpf

Bowers et al. argue that deep neural networks (DNNs) are poor models of biological vision because they often learn to rival human accuracy by relying on strategies that differ markedly from those of humans. We show that this problem is worsening as DNNs ar ...

Cambridge Univ Press2023

Hard criteria for empirical theories of consciousness

Michael Herzog, Adrien Christophe Doerig, Aaron Schurger

Consciousness is now a well-established field of empirical research. A large body of experimental results has been accumulated and is steadily growing. In parallel, many Theories of Consciousness (ToCs) have been proposed. These theories are diverse in nat ...

2021

How best to unify crowding?

Michael Herzog, Adrien Christophe Doerig, Mattew Pachai

Crowding refers to the detrimental effect of nearby elements on target perception. Recently, Harrison and Bex (Curr Biol, 2015) modeled performance in a novel orientation crowding paradigm where observers reported the orientation of a Landolt C presented a ...

2016

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

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

Spatiotemporal Feature Integration Within Discrete Time Windows Provides Evidence for Discrete Perception

Michael Herzog, Adrien Christophe Doerig, Leila Drissi Daoudi - Kleinbauer

SAGE PUBLICATIONS LTD2019

Dissecting (un)crowding

Michael Herzog, Adrien Christophe Doerig, Alban Bornet, 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 ...

Association for Research in Vision and Ophthalmology (ARVO)2021

All in Good Time: Long-lasting Postdictive Effects Discrete Perception

Michael Herzog, Adrien Christophe Doerig, Leila Drissi Daoudi - Kleinbauer

Is consciousness a continuous stream of percepts or is it discrete, occurring only at certain moments in time? This question has puzzled philosophers, psychologists, and neuroscientists for centuries. Both hypotheses have fallen repeatedly in and out of fa ...

2020

Models of crowding: a comparative study

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

In crowding, the perception of an object deteriorates in the presence of nearby elements. Obviously, crowding is a ubiquitous phenomenon, since elements are rarely seen in isolation. Despite this ubiquity, there exists no consensus on how to model crowding ...

2016

Crowding asymmetries in a neural model of image segmentation

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

Association for Research in Vision and Ophthalmology2017

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

Michael Herzog, Adrien Christophe Doerig, Alban Bornet

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 ...

Association for Research in Vision and Ophthalmology (ARVO)2021

The role of one-shot learning in #TheDress

Michael Herzog, Adrien Christophe Doerig

#TheDress is remarkable in two aspects. First, there is a bimodal split of the population in the perception of the dress's colors (white/gold vs. black/blue). Second, whereas interobserver variance is high, intra-observer variance is low, i. e., the percep ...

Association for Research in Vision and Ophthalmology (ARVO)2017

Capsule networks as recurrent models of grouping and segmentation

Michael Herzog, Adrien Christophe Doerig, Mauro Manassi

Classically, visual processing is described as a cascade of local feedforward computations. Feedforward Convolutional Neural Networks (ffCNNs) have shown how powerful such models can be. However, using visual crowding as a well-controlled challenge, we pre ...

2020

Adrien Christophe Doerig

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A new empirical challenge for local theories of consciousness

Crowding asymmetries explained by a model of image segmentation

Building perception block by block: a response to Fekete et al

How stable is perception in #TheDress and #TheShoe?

Fixing the problems of deep neural networks will require better training data and learning algorithms

Hard criteria for empirical theories of consciousness

How best to unify crowding?

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

Spatiotemporal Feature Integration Within Discrete Time Windows Provides Evidence for Discrete Perception

Dissecting (un)crowding

All in Good Time: Long-lasting Postdictive Effects Discrete Perception

Models of crowding: a comparative study

Crowding asymmetries in a neural model of image segmentation

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

The role of one-shot learning in #TheDress

Capsule networks as recurrent models of grouping and segmentation

How best to unify crowding?

Towards a Unifying Model of Crowding: Model Olympics

Perceptual Grouping and Segmentation: Uncrowding