Using semantic web techniques for validation of cognitive models against neuroscientific data
(2004) p.74-75- 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... (More) - 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. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/531328
- author
- Balkenius, Christian LU and Gustafsson, Marie
- organization
- publishing date
- 2004
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Proceedings of AILS 04 ( Report / Lund Institute of Technology, Lund University ; 151)
- editor
- Malek, J.
- pages
- 74 - 75
- publisher
- Department of Computer Science, Lund University
- ISSN
- 1650-1276
- project
- Ikaros: An infrastructure for system level modelling of the brain
- language
- English
- LU publication?
- yes
- id
- b9052e10-2caf-49a7-b257-11fc6c02b64f (old id 531328)
- alternative location
- http://www.lucs.lu.se/People/Christian.Balkenius/PDF/Gustafsson.Balkenius.2004.pdf
- date added to LUP
- 2016-04-01 15:52:36
- date last changed
- 2019-09-06 02:18:07
@inproceedings{b9052e10-2caf-49a7-b257-11fc6c02b64f, abstract = {{Neuroinformatics is the<br/><br> information science infrastructure of neuroscience. It relates to the tools, databases, models and<br/><br> mechanisms of information flow that serve all of the clinical and research efforts in this field. There<br/><br> have been several attempts to create neuroinformatic systems, but none seem to have reached wide<br/><br> spread adoption yet.<br/><br> This is especially true in the in the area of cognitive modeling where the goal is to develop<br/><br> computational models of cognitive processes. When these models claim to parallel processes in<br/><br> the brain, it would be useful if this could be tested in an automatic way by invoking some form<br/><br> of neuroinformatic database. In principle, many structural and functional claims about a model<br/><br> could be automatically validated against neuroscientific data if both the model and the data were<br/><br> represented in form suitable for an inference engine.}}, author = {{Balkenius, Christian and Gustafsson, Marie}}, booktitle = {{Proceedings of AILS 04 ( Report / Lund Institute of Technology, Lund University ; 151)}}, editor = {{Malek, J.}}, issn = {{1650-1276}}, language = {{eng}}, pages = {{74--75}}, publisher = {{Department of Computer Science, Lund University}}, title = {{Using semantic web techniques for validation of cognitive models against neuroscientific data}}, url = {{https://lup.lub.lu.se/search/files/4500174/625000.pdf}}, year = {{2004}}, }