Organizers: Konrad P. Körding, Michael S. Landy, and Julia Trommershäuser
Funded by the Deutsche
Forschungsgemeinschaft
Traditionally, research in
robotics, artificial intelligence, computational neuroscience and cognitive
science follow different goals in the development and application of
computational models. The goal of research in the field of artificial
intelligence and robotics is to understand and ultimately copy the human
brain’s ability to quickly decode, efficiently process and represent
relevant information. On the other hand, research in the area of
computational neuroscience aims to apply computational models to test
hypotheses about brain architecture and neural coding of information based on
experimental evidence gained through electrophysiology, EEG, fMRI and
psychophysics. In between these two extremes lies cognitive science, which
aims to provide models of human behavior in cognitive tasks, but often at a
more general level that does not map neatly onto specific neural components.
Recent work, however, has highlighted the importance of integrating knowledge
across all these disciplines. This conference aims to bring together leading
researchers from the fields of computational neuroscience, artificial
intelligence, robotics and vision to discuss theoretical approaches to modeling
human sensory processing and multi-sensory integration. The workshop will
focus particularly on applying computational concepts and models to sensory
cue integration. Selected participants will be able to present and discuss
their own work. Confirmed speakers include Dora Angelaki
(Washington University School of Medicine), Ben Backus (SUNY College of Optometry), Martin Banks (UC Berkeley),
Ulrik Beierholm (California Institute of Technology), David
Burr (Università di Firenze, and Istituto di Neuroscienze del CNR),
Sophie Deneve (Institut des Sciences Cognitives, Bron), Fulvio Domini (Brown University), Marc
Ernst (MPI for Biological Kybernetics), Robert Jacobs (University of
Rochester), Konrad Körding (Northwestern University), Michael Landy (New York University), Wei-Ji Ma
(Baylor College of Medicine), Pascal Mamassian (CNRS & Université
Paris 5), Maneesh Sahani (UC London), Paul Schrater (University of Minnesota), Ladan Shams (UC Los Angeles),
Charles Spence (Oxford University), Julia Trommershäuser (Giessen University), Sethu Vijayakumar (University
of Edinburgh), Pedro Rosas (MPI for Biological Kybernetics), Andrew Welchman (University of Birmingham),
Richard Zemel (University of Toronto). |