Felix Wichmann CV


Felix Wichmann received his B.A. in Experimental Psychology (1994) as well as his D.Phil. (1999) from the University of Oxford. He was awarded his doctorate for the thesis Some Aspects of Modelling Spatial Vision: Contrast Discrimination under supervision of Bruce Henning. His studies were supported by scholarships from the German National Academic Foundation (1992-1997), University College Oxford (1992-1994), a Jubilee Scholarship from St. Hugh's College Oxford (1994-1997), as well as a Fellowship by Examination from Magdalen College Oxford (1998-2001). After post-doctoral research in Johan Wageman's group at the University of Leuven in Belgium (2000-2001), Felix worked as a research scientist in Bernhard Schölkopf's Empirical Inference Department at the Max Planck Institute for Biological Cybernetics in Tübingen, Germany (2001-2007). From 2007 to 2011 he was an Associate Professor (W2) for Modelling of Cognitive Processes at the Technical University of Berlin and the Bernstein Center for Computational Neuroscience Berlin. Since 2011 he is Full Professor (W3) for Neural Information Processing at the Eberhard Karls Universität Tübingen and the Bernstein Center for Computational Neuroscience Tübingen. Felix is currently a member of the editorial board of Vision Research and served as a review editor for Frontiers in Cognitive Science from 2011 till 2016.

EducationAwards Employment and Positions Publications • Funding • Google Scholar
Keynotes and Plenary TalksInvited Conference and Workshop TalksInvited TutorialsStudentsAlumni



Oxford University, Oxford, UK

D.Phil., Experimental Psychology, 1999

Oxford University, Oxford, UK

B.A., Experimental Psychology, 1994



Teaching Awards for the academic years 2014/15, 2015/16 and 2016/17, Graduate Training Center, Tübingen, Germany presented by the GTC senior master students of the Neural Information Processing course.

Teaching Awards for the academic years 2012/13 and 2013/14, Graduate Training Center, Tübingen, Germany presented by the GTC senior master students of the Neural & Behavioural Science course.

Best Poster Award, Computational Vision & Neuroscience symposium, Tübingen, Germany, in 2008 for the poster Neural population code model for pattern detection with Robbe Goris, Tom Putzeys and Johan Wagemans.

Selected Article Award, American Psychological Association (APA), Washington DC, USA, in 2002 for the paper The contributions of color to the recognition memory for natural scenes, with Lindsay Sharpe and Karl Gegenfurtner.

Young Investigator Award, Runner-up, Optical Society of America, Washington DC, USA, 1999.

Highlighted Power Award, Annual Meeting of the Optical Society of America (OSA), in Rochester, USA, in 1996 for the poster Does motion-blur facilitate motion detection? with Bruce Henning.

George Humphrey's Prize, University of Oxford for Best of Year in the Final Honour Schools of Physiology, Psychology and Philosophy, 1994.

Prize by Examination, University College Oxford, Oxford, UK, 1993.


Employment and Positions

Eberhard Karls Universität Tübingen, Faculty of Science, Department of Computer Science, and Bernstein Center for Computational Neuroscience, Tübingen, Germany
Full Professor (W3), 2011-present

Max Planck Institute for Intelligent Systems, Tübingen, Germany
Adjunct Senior Research Scientist, 2011-present

Technische Universität Berlin, Faculty of Computer Science and Electrical Engineering, and Bernstein Center for Computational Neuroscience Berlin, Germany
Associate Professor (W2), 2007-2011

Eberhard Karls Universität Tübingen, Institute of Psychology, Tübingen, Germany
Interim Professor for Psychological Research Methods, 2005-2006

Max Planck Institute for Biological Cybernetics, Tübingen, Germany
Research Scientist, 2001-2007

Katholieke Universiteit Leuven, Department of Quantitative and Experimental Psychology, Leuven, Belgium
Post-doc, 2000-2001

University of Oxford, Faculty of Psychology and Magdalen College, Oxford, UK
Junior Research Fellow, 1998-2001


Keynotes and Plenary Talks

Machine learning methods for system identification in sensory psychology

Opening lecture, XX. LIPP Symposium 2014, Linguistik 2.0 – Die Herausforderung der „Digital Humanities“, Ludwig-Maximilians-Universität, München, Germany, February 2014.

Models of early spatial vision: Bayesian statistics and population decoding

36th European Conference on Visual Perception (ECVP), Plenary Symposium "Computational Neuroscience meets Visual Perception", Bremen, Germany, August 2013.

Machine learning methods in psychology

Keynote, 46th Annual Meeting of the Society of Mathematical Psychology, Potsdam, Germany, August 2013.

Das Sehen durchschauen ­ Gehirn und Informatik

Plenary Talk, "Automatisierungstechnische Verfahren für die Medizin" (AUTOMED), Berlin, Germany, March 2009.


Invited Conference and Workshop Talks

Towards useful early visual representations
GIPSA-lab Eye-movement workshop, CNRS & University of Grenoble, FR, October 2015.

Towards useful early visual representations
PRISM 5 workshop, Leuven, BE, October 2015.

Early Vision and Beyond
Computational Vision Summer School (CVSS), Freudenstadt, July 2015.

Recent progress in understanding the human visual system's processing of simple patterns

Jahreskonferenz "Neue Medien in der Informationsgesellschaft" (NMI) der Alcatel-Lucent-Stiftung, Berlin-Brandenburgischen Akademie der Wissenschaften, Berlin, Germany, Juli 2013.

A neural population code model for human visual pattern detection

Osnabrück Computational Cognition Alliance Meeting (OCCAM), Osnabrück, Germany, June 2012.

A neural population code model for human visual pattern detection

FIN Inauguration Symposium "New Perspectives in Integrative Neuroscience," Tübingen, Germany, May 2012.

Machine learning in psychophysical research

"Brain Connectivity Workshop 2010," Berlin, Germany, April 2010.

Machine learning for critical feature extraction

German-Korean Workshop on "Machine Learning in Life Sciences: Computational Neuroscience," Berlin, Germany, February 2010.

Non-linear system identification: Visual saliency inferred from eye-movement data

Symposium "Modern approaches to modeling visual data" at the Vision Sciences Society (VSS), Naples, USA, May 2009.

Natural stimuli in vision research: Problems and (some) remedies

Workshop "Early Vision" at the Bernstein Center for Computational Neuroscience Berlin, Berlin, Germany, November 2008.

Identifying critical features from psychophysical data

Workshop "Aspects of Adaptive Cortical Dynamics," Hanse-Wissenschaftskolleg Delmenhorst, Delmenhorst, Germany, September 2008.

Machine learning applied to visual perception

Symposium "Empirical Inference," Max-Planck-Institut für biologische Kybernetik, Tübingen, August 2005.

Amplitude-modulated maskers in vision

Summer School of the International Graduate School for Neurosensory Science and Systems, Universities of Oldenburg and Groningen, Bad Zwischenahn, Germany, August 2004.

Luminance artifacts on CRT displays

Workshop "Combining Sensory Information to Improve Visualization" at the IEEE Visualization Conference (Vis), Boston, USA, October 2002.

Application of Monte Carlo methods to psychometric function fitting

33rd Meeting of the European Mathematical Psychology Group (EMPG), Bremen, Germany, August 2002.


Invited Tutorials

Visual perception: From behaviour to computational models

Gestalt-ReVision retreat, Vielsalm, BE, February 2013.

System identification using machine learning methods

Summer School "Berlin Brain-Computer Interface" (BBCI), Berlin, Germany, September 2012.

Empirical Methods: Psychophysical methods, signal detection theory & response times


Kernel methods and perceptual classification

Summer School "Cognitive Science and Machine Learning," Pula, Sardinia, I, May 2010.

Tools and methods in psychophysics

Annual International Computational Neuroscience Meeting (CNS), Berlin, July 2009.

Psychometric function and methods

Erasmus IP Seminar "Bayesian Statistics and its Use for Psychological Science," Blaubeuren, April 2009.

Psychometric methods

Summer School "Mechanisms of Human Perception," Zürich, CH, September 2008.

Exploratory SVM-approach to bottom-up visual saliency

Erasmus IP Seminar "Mathematical and Computational Models of Attention, Decision, and Action," Bremen, Germany, January 2007.

Early spatial vision: Data and computational models

Erasmus IP Seminar "Mathematical and Computational Models in the Psychological Sciences," Biggar, UK, April 2006.