@inproceedings{ZibnerFaubelIossifidisetal.2010,
  author    = {Stephan Klaus Ulrich Zibner and Christian Faubel and Ioannis Iossifidis and Gregor Sch{\"o}ner and John P. Spencer},
  title     = {Scenes and Tracking with Dynamic Neural Fields: How to Update a Robotic Scene Representation},
  series = {IEEE 9TH International Conference on Development and Learning},
  publisher = {IEEE},
  address   = {Ann Arbor, MI, USA},
  isbn      = {978-1-4244-6902-4},
  issn      = {2161-9476},
  doi       = {10.1109/DEVLRN.2010.5578837},
  pages     = {244 -- 250},
  year      = {2010},
  abstract  = {We present an architecture based on the Dynamic Field Theory for the problem of scene representation. At the core of this architecture are three-dimensional neural fields linking feature to spatial information. These three-dimensional fields are coupled to lower-dimensional fields that provide both a close link to the sensory surface and a close link to motor behavior. We highlight the updating mechanism of this architecture, both when a single object is selected and followed by the robot's head in smooth pursuit and in multi-item tracking when several items move simultaneously},
  language  = {en}
}