Visual processing

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Publications associées (26)

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

Rapid Recalibration of Peri-Personal Space: Psychophysical, Electrophysiological, and Neural Network Modeling Evidence

Olaf Blanke, Bruno Herbelin, Tommaso Enrico Bertoni, Andrea Serino, Jean-Paul Noel, Elisa Pellencin

Interactions between individuals and the environment occur within the peri-personal space (PPS). The encoding of this space plastically adapts to bodily constraints and stimuli features. However, these remapping effects have not been demonstrated on an ada ...

2020

Bayesian modeling of brain function and behavior

Maya Anna Jastrzebowska

The application of Bayesian modeling techniques is increasingly common in neuroscience due to the coherent and principled way in which the paradigm deals with uncertainty. The Bayesian framework is particularly valuable in the context of complex, ill-posed ...

EPFL2020

Schizophrenia patients using atypical medication perform better in visual tasks than patients using typical medication

Michael Herzog, Maya Roinishvili, Albulena Jashari-Shaqiri

Schizophrenia (SCZ) patients show deficits in many domains, including cognition and perception. However, results are often mixed. One reason for mixed results may be differences in medication. Very little is known about the role of medication in visual pro ...

2019

Microsaccades Distinguish Looking From Seeing

Andreas Sonderegger, Andrea Regula Schneider

Understanding our visual world requires both looking and seeing. Dissociation of these processes can result in the phenomenon of inattentional blindness or 'looking without seeing'. Concomitant errors in applied settings can be serious, and even deadly. Cu ...

INT GROUP EYE MOVEMENT RESEARCH2019

Capsule networks explain complex spatial processing

Michael Herzog, Adrien Christophe Doerig, Lynn Schmittwilken

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

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