Deutsch
 
Hilfe Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

 
 
DownloadE-Mail
  Self-similarity and recursion as default modes in human cognition

Fischmeister, F. P., Martins, M., Beisteiner, R., & Fitch, W. T. (2017). Self-similarity and recursion as default modes in human cognition. Cortex, 97, 183-201. doi:10.1016/j.cortex.2016.08.016.

Item is

Basisdaten

einblenden: ausblenden:
Genre: Zeitschriftenartikel

Externe Referenzen

einblenden:
ausblenden:
externe Referenz:
Link (beliebiger Volltext)
Beschreibung:
-
OA-Status:

Urheber

einblenden:
ausblenden:
 Urheber:
Fischmeister, Florian P.1, 2, Autor
Martins, Mauricio3, 4, 5, Autor           
Beisteiner, Roland1, 2, Autor
Fitch, W. Tecumseh3, Autor
Affiliations:
1Department of Neurology, Medical University of Vienna, Austria, ou_persistent22              
2MR Centre of Excellence, Medical University of Vienna, Austria, ou_persistent22              
3Department of Cognitive Biology, University Vienna, Austria, ou_persistent22              
4Berlin School of Mind and Brain, Humboldt University Berlin, Germany, ou_persistent22              
5Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              

Inhalt

einblenden:
ausblenden:
Schlagwörter: Recursion; Hierarchies; Cognition; Default-mode; fMRI
 Zusammenfassung: Humans generate recursive hierarchies in a variety of domains, including linguistic, social and visuo-spatial modalities. The ability to represent recursive structures has been hypothesized to increase the efficiency of hierarchical processing. Theoretical work together with recent empirical findings suggests that the ability to represent the self-similar structure of hierarchical recursive stimuli may be supported by internal neural representations that compress raw external information and increase efficiency. In order to explicitly test whether the representation of recursive hierarchies depends on internalized rules we compared the processing of visual hierarchies represented either as recursive or non-recursive, using task-free resting-state fMRI data. We aimed to evaluate the relationship between task-evoked functional networks induced by cognitive representations with the corresponding resting-state architecture. We observed increased connectivity within Default Mode Network (DMN) related brain areas during the representation of recursion, while non-recursive representations yielded increased connectivity within the Fronto-Parietal Control-Network. Our results suggest that human hierarchical information processing using recursion is supported by the DMN. In particular, the representation of recursion seems to constitute an internally-biased mode of information-processing that is mediated by both the core and dorsal-medial subsystems of the DMN. Compressed internal rule representations mediated by the \DMN\ may help humans to represent and process hierarchical structures in complex environments by considerably reducing information processing load.

Details

einblenden:
ausblenden:
Sprache(n): eng - English
 Datum: 2016-02-152015-11-032016-08-192016-09-232017-12
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: BibTex Citekey: Fischmeister2016
DOI: 10.1016/j.cortex.2016.08.016
PMID: 27780529
Anderer: Epub 2016
 Art des Abschluß: -

Veranstaltung

einblenden:

Entscheidung

einblenden:

Projektinformation

einblenden: ausblenden:
Projektname : -
Grant ID : FG761002
Förderprogramm : Research Cluster Grant “Shared Neural Resources for Music and Language”
Förderorganisation : University of Vienna
Projektname : -
Grant ID : FA103FC003
Förderprogramm : Research Cluster Grant “Shared Neural Resources for Music and Language”
Förderorganisation : Medical University of Vienna
Projektname : -
Grant ID : SFRH/BD/64206/2009
Förderprogramm : -
Förderorganisation : Fundação para a Ciência e a Tecnologia
Projektname : The Syntax of the Mind: A Comparative Computational Approach / SOMACCA
Grant ID : 230604
Förderprogramm : Funding Programme 7
Förderorganisation : European Commission (EC)

Quelle 1

einblenden:
ausblenden:
Titel: Cortex
  Andere : Cortex
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Milan [etc.] : Elsevier Masson SAS
Seiten: - Band / Heft: 97 Artikelnummer: - Start- / Endseite: 183 - 201 Identifikator: ISSN: 0010-9452
CoNE: https://pure.mpg.de/cone/journals/resource/954925393344