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Pre-Conference Workshops > Workshop 3Workshop 3 Title: The Multisensory Correlation Detector: a hands-on workshop for modelling audiovisual perception Organizers: Cesare Parise Topics: Multisensory modelling; audiovisual perception; correlation detection; stimulus-computable models; theory building. Description: The Multisensory Correlation Detector (MCD) provides a biologically grounded framework for understanding how the brain combines information across the senses. A key strength of the model is that it is stimulus-computable: instead of relying on experimenter-defined stimulus parameters, it operates directly on raw audiovisual input and reproduce a wide range of phenomena in multisensory perception. Because of this feature, working with the MCD involves a mode of analysis that differs substantially from more conventional approaches in the field. For researchers who are unfamiliar with computational modelling or mathematically oriented methods, this shift can seem challenging at first. This workshop is designed as an accessible introduction to the model and its logic. Attendees will be guided through practical examples showing how the MCD can be applied to model classic findings in the spatial and temporal domains of audiovisual perception. The session will combine conceptual explanation with hands-on exercises, giving attendees the opportunity to learn how to implement the model in practice. No prior programming experience is required. Attendees should bring a laptop with MATLAB installed, including the Statistics and Machine Learning Toolbox. They are also encouraged to bring their own stimuli or datasets if they would like to discuss how the MCD might be applied to their own research. Dependencies: MATLAB; Statistics and Machine Learning Toolbox |
