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Workshop: From Bayes to MRI - How different techniques provide insight into crossmodal processing Print E-mail

Bonath B, Noesselt T, Martinez A, Mishra J, Schwiecker K, Heinze HJ, Hillyard SA.
(2007). Neural basis of the ventriloquist illusion. Curr Biol. 17(19):1697-703.

Alais D, Burr D. (2004). The ventriloquist effect results from near-optimal bimodal integration. Curr Biol. 14(3):257-62.

PDF version of the papers: e-mail to a.marschner(at)

Date and Time   Friday, 12 September 2008
09.00 - 13.00h
University of Hamburg,
Edmund-Siemers-Allee 1,
ESA 1W, Room 121
(On the first floor of the west wing)
Keynote   Marc Ernst, MPI for Biological Cybernetics,Tübingen
Optimal integration of multisensory information during perception and action
Andreas Marschner , University Clinic Hamburg
icon Functional Magnetic Resonance Imaging:
Basic principals and appliance in multimodal research

icon Slides_fMRI

Patrick Bruns , University of Hamburg
icon Tactile capture of auditory localization: What event-related potentials can tell us about multisensory spatial integration

Inga Schepers , University Clinic Hamburg
icon On the contribution of MEG to multisensory research: Exemplified by a study on haptic priming effects on auditory object identification

Slides MEG

Mario Maiworm , University of Hamburg

Bayesian modeling in multimodal cognitive research

icon Slides

  Andreas Marschner
E-mail : a.marschner(at)
Phone : +49 . 40 . 428032815

Patrick Bruns
E-mail : patrick.bruns(at)
Phone : +49 . 40 . 428388265

Inga Schepers
E-mail : i.schepers(at)
Phone : +49 . 40 . 428033653

Mario Maiworm
E-mail : mario.maiworm(at)
Phone : +49 . 40 . 428388265

Workshop Abstract


This workshop focuses on the contributions of statistical and physiological methods to unravel mechanisms of crossmodal interaction. Using probabilistic models it can be investigated whether humans integrate crossmodal information in a statistically optimal fashion. Applying physiological methods like EEG, MRI and MEG provides insight into the underlying brain mechanisms of crossmodal integration. Emphasis is put on the following questions:

  • Can behavioural data be predicted by statistical decision models?
  • What are the key brain regions where integration takes place?
  • Do crossmodal interactions come into play at early or late processing stages (EEG/MEG)?
  • To what extend can sensory integration be modulated by top-down influences (in particular: Motivation)?

Selected data from the PhD projects that contribute to the understanding of these questions will be presented by the students. Each of these short notes will focus on a different methodological viewpoint. Together with a keynote held by the invited speaker this will provide the basis for general and paper discussions with the participants on what we can learn about crossmodal interaction by combining statistical modelling and psychophysiological approaches.

Last Updated ( Monday, 15 December 2008 )