Eigenvalue Spectra of Functional Networks in fMRI Data and Artificial Models
| 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.description | Full paper available at Springerlink: http://link.springer.com/chapter/10.1007%2F978-3-642-38658-9_19 | pl |
| 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. | pl |
| dc.description.sponsorship | The work has been supported by Polish National Research Centre research grant no UMO-2011/01/N/ST6/0193 | pl |
| 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 | pl |
| dc.identifier.isbn | 978-3-642-38657-2 | |
| dc.identifier.uri | http://repozytorium.umk.pl/handle/item/1682 | |
| dc.language.iso | eng | pl |
| dc.publisher | Springer Berlin Heidelberg | pl |
| dc.relation.ispartofseries | Lecture Notes in Computer Science;Vol. 7894 | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.subject | fMRI | pl |
| dc.subject | functional networks | pl |
| dc.subject | neural networks | pl |
| dc.subject | graph spectrum | pl |
| dc.title | Eigenvalue Spectra of Functional Networks in fMRI Data and Artificial Models | pl |
| dc.type | info:eu-repo/semantics/conferenceObject | pl |