Using semantic web techniques for validation of cognitive models against neuroscientific data
Författare
Redaktör
- J. Malek
Summary, in English
Neuroinformatics is the
information science infrastructure of neuroscience. It relates to the tools, databases, models and
mechanisms of information flow that serve all of the clinical and research efforts in this field. There
have been several attempts to create neuroinformatic systems, but none seem to have reached wide
spread adoption yet.
This is especially true in the in the area of cognitive modeling where the goal is to develop
computational models of cognitive processes. When these models claim to parallel processes in
the brain, it would be useful if this could be tested in an automatic way by invoking some form
of neuroinformatic database. In principle, many structural and functional claims about a model
could be automatically validated against neuroscientific data if both the model and the data were
represented in form suitable for an inference engine.
information science infrastructure of neuroscience. It relates to the tools, databases, models and
mechanisms of information flow that serve all of the clinical and research efforts in this field. There
have been several attempts to create neuroinformatic systems, but none seem to have reached wide
spread adoption yet.
This is especially true in the in the area of cognitive modeling where the goal is to develop
computational models of cognitive processes. When these models claim to parallel processes in
the brain, it would be useful if this could be tested in an automatic way by invoking some form
of neuroinformatic database. In principle, many structural and functional claims about a model
could be automatically validated against neuroscientific data if both the model and the data were
represented in form suitable for an inference engine.
Avdelning/ar
Publiceringsår
2004
Språk
Engelska
Sidor
74-75
Publikation/Tidskrift/Serie
Proceedings of AILS 04 ( Report / Lund Institute of Technology, Lund University ; 151)
Fulltext
- Available as PDF - 64 kB
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Länkar
Dokumenttyp
Konferensbidrag
Förlag
Department of Computer Science, Lund University
Ämne
- Computer Vision and Robotics (Autonomous Systems)
Status
Published
Projekt
- Ikaros: An infrastructure for system level modelling of the brain
ISBN/ISSN/Övrigt
- ISSN: 1650-1276