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Adrien Christophe Doerig

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Publications associées (39)

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Shrinking 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 ...

2021

First-person experience cannot rescue causal structure theories from the unfolding argument

Michael Herzog, Adrien Christophe Doerig, Aaron Schurger

We recently put forward an argument, the Unfolding Argument (UA), that integrated information theory (IIT) and other causal structure theories are either already falsified or unfalsifiable, which provoked significant criticism. It seems that we and the cri ...

Elsevier2022

The Unfolding Argument: Why Recurrent Processing Cannot Explain Consciousness

Michael Herzog, Adrien Christophe Doerig, Aaron Schurger

Neuroscientific theories aim to explain paradigm cases of consciousness such as masking, binocular rivalry or the transition from dreamless sleep to wakefulness. The most popular theories are based on computational principles. Recurrent processing is a key ...

2018

Why our best theories of perception lead to Anti-reductionism

Michael Herzog, Adrien Christophe Doerig

Basic percepts and observation sentences, such as "the voltmeter is at 7A", provide the ground truth for realistic theories. Reduction is the second backbone of these theories linking, for example, neuroscience to physics. First, we will show, by mathemati ...

2016

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

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

Association for Research in Vision and Ophthalmology (ARVO)2021

The role of one-shot learning in #TheDress

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

The first amazing effect with #TheDress is that a large number of people perceive it as white and gold even though the true colors of the dress are black and blue. Such apparent changes in color are common in many illusions. What makes #TheDress even more ...

2017

Shrinking 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 LTD2019

The unfolding argument: Why IIT and other causal structure theories cannot explain consciousness

Michael Herzog, Kathryn Hess Bellwald, Adrien Christophe Doerig, Aaron Schurger

How can we explain consciousness? This question has become a vibrant topic of neuroscience research in recent decades. A large body of empirical results has been accumulated, and many theories have been proposed. Certain theories suggest that consciousness ...

2019

Spatiotemporal feature integration within discrete time windows provides evidence for discrete perception

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

Intuitively, consciousness seems to be a continuous stream of percepts. Here, contrary to intuition, we show evidence for discrete consciousness, occurring only at certain moments of time. We presented a Vernier followed by a sequence of flanking lines on ...

2018

Why computational complexity may set impenetrable barriers for epistemic reductionism

Michael Herzog, Adrien Christophe Doerig, Christian Sachse

According to physicalism, everything is physical or metaphysically connected to the physical. If physicalism were true, it seems that we should - in principle - be able to reduce the descriptions and explanations of special sciences to physical ones, for e ...

Springer2023

A two-stage model of decision making

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

The drift diffusion model (Ratcliff, 1978) is widely used to model binary decision-making. In this model, evidence for the two alternatives is integrated over time until it hits a decision boundary leading to a reaction. The drift diffusion model fits many ...

2017

Crowding reveals fundamental differences in local vs. global processing in humans and machines

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

Feedforward Convolutional Neural Networks (ffCNNs) have become state-of-the-art models both in computer vision and neuroscience. However, human-like performance of ffCNNs does not necessarily imply human-like computations. Previous studies have suggested t ...

2020

Quasi-continuous unconscious processing precedes discrete conscious perception

Michael Herzog, Adrien Christophe Doerig

Perception seems to be a continuous stream and, for this reason, we often implicitly assume that perception is continuous. In fact, many models of vision rely explicitly and implicitly on continuous perception. However, continuous perception is challenged ...

2017

Quasi-Continuous Unconscious Processing precedes Discrete Conscious Perception

Michael Herzog, Adrien Christophe Doerig

Consciousness seems to be a smooth, continuous stream of percepts. We are aware of the world at each single moment of time. However, intriguing illusions suggest that the world is not continuously translated into conscious perception. Instead, consciousnes ...

2018

Capsule networks explain complex spatial processing

Michael Herzog, Adrien Christophe Doerig

Classically, visual processing is described as a cascade of local feedforward computations. This view has received striking support from the success of convolutional neural networks (CNNs). However, CNNs only roughly mimic human vision. For example, CNNs d ...

SAGE PUBLICATIONS LTD2019

Feature integration within discrete time windows

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

Sensory information must be integrated over time to perceive, for example, motion and melodies. Here, to study temporal integration, we used the sequential metacontrast paradigm in which two expanding streams of lines are presented. When a line in one stre ...

Nature Research2019

Response to commentaries on 'hard criteria for empirical theories of consciousness'

Michael Herzog, Adrien Christophe Doerig, Aaron Schurger

In consciousness research, we have a very large number of theories, which exceeds by far the number of theories in other fields. We recently presented a set of criteria for evaluating and comparing theories of consciousness, and then applied the criteria t ...

2021

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

Michael Herzog, Adrien Christophe Doerig, Alban Bornet

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

Discrete windows of feature integration

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

A car drives through the night. It is hard to estimate its color from single photoreceptor activity because photoreceptor activation is short and noisy. An efficient way to estimate the color is to average photoreceptor activities along the car’s motion tr ...

SAGE PUBLICATIONS LTD2019

Crowding and the Architecture of the Visual System

Adrien Christophe Doerig

Classically, vision is seen as a cascade of local, feedforward computations. This framework has been tremendously successful, inspiring a wide range of ground-breaking findings in neuroscience and computer vision. Recently, feedforward Convolutional Neural ...

EPFL2020