| dc.contributor.author |
Piersa, Jarosław |
| dc.contributor.author |
Zając, Katarzyna |
| dc.date.accessioned |
2014-02-11T08:35:20Z |
| dc.date.available |
2014-02-11T08:35:20Z |
| dc.date.issued |
2013-06-09 |
| dc.identifier.citation |
Artificial Intelligence and Soft Computing : 12th International Conference, ICAISC 2013, Zakopane, Poland, June 9-13, 2013, Proceedings, Part I, pp 205-214 |
| dc.identifier.isbn |
978-3-642-38657-2 |
| dc.identifier.uri |
http://repozytorium.umk.pl/handle/item/1682 |
| dc.description |
Full paper available at Springerlink:
http://link.springer.com/chapter/10.1007%2F978-3-642-38658-9_19 |
| dc.description.abstract |
In this work we provide a spectral comparison of functional networks in fMRI data of brain activity and artificial energy-based neural model. The spectra (set of eigenvalues of the graph adjacency matrix) of both networks turn out to obey similar decay rate and characteristic power-law scaling in their middle parts. This extends the set of statistics, which are already confirmed to be similar for both neural models and medical data, by the graph spectrum. |
| dc.description.sponsorship |
The work has been supported by Polish National Research Centre
research grant no UMO-2011/01/N/ST6/0193 |
| dc.language.iso |
eng |
| dc.publisher |
Springer Berlin Heidelberg |
| dc.relation.ispartofseries |
Lecture Notes in Computer Science;Vol. 7894 |
| dc.rights |
info:eu-repo/semantics/openAccess |
| dc.subject |
fMRI |
| dc.subject |
functional networks |
| dc.subject |
neural networks |
| dc.subject |
graph spectrum |
| dc.title |
Eigenvalue Spectra of Functional Networks in fMRI Data and Artificial Models |
| dc.type |
info:eu-repo/semantics/conferenceObject |
