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  Detecting functionally coherent networks in fMRI data of the human brain using replicator dynamics

Lohmann, G., & von Cramon, D. (2001). Detecting functionally coherent networks in fMRI data of the human brain using replicator dynamics. In M. Insana, & R. Leahy (Eds.), Information Processing in Medical Imaging: 17th International Conference, IPMI 2001 Davis, CA, USA, June 18–22 (pp. 218-224). Berlin, Germany: Springer.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0005-A886-6 Version Permalink: https://hdl.handle.net/21.11116/0000-0005-A887-5
Genre: Conference Paper

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https://link.springer.com/content/pdf/10.1007%2F3-540-45729-1_23.pdf (Publisher version)
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 Creators:
Lohmann, G1, Author           
von Cramon, DY, Author
Affiliations:
1External Organizations, ou_persistent22              

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 Abstract: We present a new approach to detecting functional networks in fMRI time series data. Functional networks as defined here are characterized by a tight coherence criterion where every network member is closely connected to every other member. This definition of a network closely resembles that of a clique in a graph. We propose to use replicator dynamics for detecting such networks. Our approach differs from standard clustering algorithms in that the entities that are targeted here differ from the traditional cluster concept.

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Language(s): eng - English
 Dates: 2001-06
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1007/3-540-45729-1_23
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Title: 17th International Conference on Information Processing in Medical Imaging (IPMI 2001)
Place of Event: Davis, CA, USA
Start-/End Date: 2001-06-18 - 2001-06-22

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Title: Information Processing in Medical Imaging: 17th International Conference, IPMI 2001 Davis, CA, USA, June 18–22
Source Genre: Proceedings
 Creator(s):
Insana, MF1, Editor
Leahy, RM1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 218 - 224 Identifier: ISBN: 978-3-540-45729-9

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Title: Lecture Notes in Computer Science
Source Genre: Series
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Pages: - Volume / Issue: 2082 Sequence Number: - Start / End Page: - Identifier: -