Using semantic web techniques for validation of cognitive models against neuroscientific data

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

Abstract

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.

Details

Authors
Organisations
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Computer Vision and Robotics (Autonomous Systems)
Original languageEnglish
Title of host publicationProceedings of AILS 04 ( Report / Lund Institute of Technology, Lund University ; 151)
EditorsJ. Malek
PublisherDepartment of Computer Science, Lund University
Pages74-75
Publication statusPublished - 2004
Publication categoryResearch
Peer-reviewedYes

Publication series

Name
ISSN (Print)1650-1276

Total downloads

No data available

Related projects

Birger Johansson, Christian Balkenius, Magnus Johnsson, Rasmus Bååth, Stefan Winberg, Zahra Gharaee & Trond Arild Tjøstheim

2001/01/012021/12/31

Project: Research

View all (1)