Human face perception

 

HUMAN FACE PERCEPTION

 

Face CategorizationPerception-visagesCerveau-perception-visages VisagesN170

 

Research Team Collaborations Publications

 

RESEARCH

 

 

Our goal is to understand how the human brain recognizes people by their face.

We tackle this question in healthy humans (children and adults) as well as in brain-damaged patients, at multiple levels:
- behavioral responses and eye movements,
- hemodynamic brain responses (techniques: functional Magnetic Resonance Imaging, fMRI),
- neurophysiological responses (techniques: intra- and extra-cerebral electroencephalogram),
- brain stimulation (techniques: intracerebral electrical stimulation and transcranial magnetic stimulation, TMS).

Website: Goffaux Lab

 

TEAM

 

Principal investigators

Postdoctoral fellows

 

PhD Students

 

Technical and administrative staff

 

 

 

COLLABORATIONS

 

 

National collaborations

Face perception

  • Hans Op de Beeck, Laboratory of Biological Psychology, KULeuven
  • Rufin Vogels & Jessica Taubert, Department of Neurosciences, KULeuven

Face categorization

  • Rufin Vogels & Wim Vanduffel, KULeuven, Belgium

International collaborations

Face perception

  • Rainer Goebel Cognitive Neuroscience Department, Maastricht University, The Netherlands
  • John Greenwood, University College London, UK
  • Marieke Mur, MRC Cognition and Brain Sciences Unit, University of Cambridge, UK
  • Christine Schiltz, FLSHASE, Université du Luxembourg, Luxembourg

Face categorization

  • Anthony M. Norcia, Stanford University, USA
  • Louis Maillard & Laurent Koessler, CHU Nancy, France
  • Rainer Goebel & Bettina Sorger, University of Maastricht, The Netherlands
  • Quoc Vuong, Newcastle University, UK
  • Christine Schiltz, University of Luxemburg, Luxembourg
  • Michael Webster & Fang Jiang, University of Nevada, Reno, USA
  • Tim Curran, University of Colorado at Boulder, USA
  • Frédéric Gosselin, Université de Montréal, Canada
  • James Tanaka & Daniel Bub, University of Victoria, Canada
  • Michael Tarr, Carnegie Mellon, USA