Visual masking and the dynamics of human perception, cognition, and consciousness:A century of progress, a contemporary synthesis, and future directions

• Authors: Ulrich Ansorge , Gregory Francis , Michael H. Herzog , Haluk Öğmen

Abstracts

EN

The 1990s, the "decade of the brain," witnessed major advances in the study of visual perception, cognition, and consciousness. Impressive techniques in neurophysiology, neuroanatomy, neuropsychology, electrophysiology, psychophysics and brain-imaging were developed to address how the nervous system transforms and represents visual inputs. Many of these advances have dealt with the steady-state properties of processing. To complement this "steady-state approach," more recent research emphasized the importance of dynamic aspects of visual processing. Visual masking has been a paradigm of choice for more than a century when it comes to the study of dynamic vision. A recent workshop (http://lpsy.epfl.ch/VMworkshop/), held in Delmenhorst, Germany, brought together an international group of researchers to present state-of-the-art research on dynamic visual processing with a focus on visual masking. This special issue presents peer-reviewed contributions by the workshop participants and provides a contemporary synthesis of how visual masking can inform the dynamics of human perception, cognition, and consciousness.

Keywords

EN

backward masking; dynamic vision; modeling

• Publisher: Wyższa Szkoła Finansów i Zarządzania w Warszawie
• Journal: Advances in Cognitive Psychology
• Year: 2007
• Volume: 3
• Issue: 1-2
• Pages: 1-8

Contributors

author

Ulrich Ansorge

• Abteilung für Psychologie und Sportwissenschaft, Universität Bielefeld, Germany

author

Gregory Francis

• Department of Psychological Sciences, Purdue University, USA

author

Michael H. Herzog

• Laboratory of Psychophysics, Brain Mind Institute, École Polytechnique Fédérale de Lausanne, Switzerland

author

Haluk Öğmen

• Department of Electrical & Computer Engineering, Center for Neuro-Engineering and Cognitive Science, Houston, USA

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Identifiers

DOI

10.2478/v10053-008-0009-0