The research group "cognitive neuroinformatics" is developing hybrid knowledge-based systems. These systems combine low level cognitive abilities like pattern recognition with higher cognitive capacities like knowledge representation and reasoning. The research focus is set to further development in theories of Softcomputing concerning automated learning, processing and representation of uncertain knowlegde (Dempster-Shafer Theory, etc.). Another point of interest is the development of inference processes which are based on construction of new hypothesises and are capable of adaptiv and parallel reasoning. Hybrid architectures for integration of different processing principles like connectionistic and symbolic approaches are researched, too. These systems are developed for different areas of application with appropriate profiles. These areas of application are knowledge manegement systems, decision assistance sytems, retrieval systems and systems for modeling and simulation of "active perception" sensomotoric processes.

Research activities

  • development of hybrid architectures for simulation of sensimotoric processes
  • statistic analysis of natural images and sequences
  • multi-channel-computer vision with nonlinear operators
  • learning and representation of knowledge in knowledge-bases systems
  • processing of uncertain and inconsistent knowledge/data
  • development of parallel and adaptive inference technique
  • virtual agents, navigation and exploration

Research topics

Cognitive agents / Knowledge-based systems:

  • Softcomputing / Uncertain and vague knowledge
  • Adaptive reasoning- and search strategies
  • Hybrid systems: integration of low-level signal processing and cognitive knowledge-based processing
  • Multisensory processing: integration of auditory and visual information, fusion of bio-sensor based information
  • Development of information technologies for elderly people

Biologically motivated vision systems:

  • Analyses / Classification of images
  • Natural scenes statistics
  • Saccadic scene analyses / Attentional processes

Representation and processing of spatial and spatio-temporal information:

  • Qualitative representation of spatial and spatio-temporal information
  • Classification of spatio-temporal information with neuronal networks
    Multi-hierarchical representations of spatial environment

Experimental research

  • Visual motion processing
  • Spatial cognition: representation of spatial environments, exploration and navigation
  • Multisensory information processing
  • Attention and saccadic eye-movements

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Cognitive Neuroinformatics © 2019