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Title Using semantic web techniques for validation of cognitive models against neuroscientific data
Author/s Christian Balkenius, Marie Gustafsson
Department/s Cognitive Science
Full-text Available as PDF
Alternative location (URL) http://www.lucs.lu.se/People/C...
Publication/Series Proceedings of AILS 04 ( Report / Lund Institute of Technology, Lund University ; 151)
Publishing year 2004
Pages 74 - 75
Document type Conference
Status published
Quality controlled yes
Editor J. Malek
Language English
Publisher Dept of Computer Science, Lund University
Abstract 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.
Subject Philosophy and Religion
Social Sciences
ISBN/ISSN/Other ISSN: 1650-1276

 

 

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