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Olaf Sporns

Biographic Data

ID3449226
NAMEOlaf Sporns
GIVEN NAMESOlaf
FAMILY NAMESporns
SIGNATURESPORNS O
AFFILIATIONSIndiana University Bloomington
ORCID0000-0001-7265-4036
VERIFIEDYes
TOTAL WORKS7
TOTAL CITATIONS1
AUTHOR COUNT4
EDITOR COUNT3
FIRST PUBLICATION YEAR2008
LATEST PUBLICATION YEAR2014
H-INDEX1
  • From the Phenomenology to the Mechanisms of Consciousness

    Open Access•Masafumi Oizumi, Larissa Albantakis et al.•ARTICLE•PLoS Computational Biology•2014

    This paper presents Integrated Information Theory (IIT) of consciousness 3.0, which incorporates several advances over previous formulations. IIT starts from phenomenological axioms: information says that each experience is specific--it is what it is by how it differs from alternative experiences; integration says that it is unified--irreducible to non-interdependent components; exclusion says that it has unique borders and a particular spatio-te…

  • Multi-scale community organization of the human structural connectome and its relationship with resting-state functional connectivity

    Open Access•Richard F Betzel, Alessandra Griffa et al.•ARTICLE•Network Science•2013•Cited by: 1•References: 4

    The human connectome has been widely studied over the past decade. A principal finding is that it can be decomposed into communities of densely interconnected brain regions. Past studies have often used single-scale modularity measures in order to infer the connectome's community structure, possibly overlooking interesting structure at other organizational scales. In this report, we used the partition stability framework, which defines communitie…

  • Network maps of the human brain's rich club

    Open Access•Olaf Sporns, Martijn P Van Den Heuvel•ARTICLE•Network Science•2013

    Does the human brain have a central connective core, and, if so, how costly is it? Noninvasive imaging data allow the construction of network maps of the human brain, recording its structural and functional connectivity. A number of studies have reported on various characteristic network attributes, such as a tendency toward local clustering, high global efficiency, the prevalence of specific network motifs, and a pronounced community structure w…

  • Redrawing the Map of Great Britain from a Network of Human Interactions

    Open Access•Carlo Ratti, Stanislav Sobolevsky et al.•ARTICLE•PLoS ONE•2010

    Do regional boundaries defined by governments respect the more natural ways that people interact across space? This paper proposes a novel, fine-grained approach to regional delineation, based on analyzing networks of billions of individual human transactions. Given a geographical area and some measure of the strength of links between its inhabitants, we show how to partition the area into smaller, non-overlapping regions while minimizing the dis…

  • Complex network measures of brain connectivity

    Open Access•Mikail Rubinov, Olaf Sporns•ARTICLE•NeuroImage•2010

  • Complex brain networks

    Open Access•Edward T Bullmore, Ed Bullmore et al.•ARTICLE•Nature Reviews Neuroscience•2009

  • Network ‘Small-World-Ness’

    Open Access•Mark D Humphries, Kevin Gurney et al.•ARTICLE•PLoS ONE•2008

    BACKGROUND: Many technological, biological, social, and information networks fall into the broad class of 'small-world' networks: they have tightly interconnected clusters of nodes, and a shortest mean path length that is similar to a matched random graph (same number of nodes and edges). This semi-quantitative definition leads to a categorical distinction ('small/not-small') rather than a quantitative, continuous grading of networks, and can lea…

  • Multi-scale community organization of the human structural connectome and its relationship with resting-state functional connectivity

    Open Access•Richard F Betzel, Alessandra Griffa et al.•ARTICLE•Network Science•2013•Cited by: 1•References: 4

    The human connectome has been widely studied over the past decade. A principal finding is that it can be decomposed into communities of densely interconnected brain regions. Past studies have often used single-scale modularity measures in order to infer the connectome's community structure, possibly overlooking interesting structure at other organizational scales. In this report, we used the partition stability framework, which defines communitie…

  • Network ‘Small-World-Ness’

    Open Access•Mark D Humphries, Kevin Gurney et al.•ARTICLE•PLoS ONE•2008

    BACKGROUND: Many technological, biological, social, and information networks fall into the broad class of 'small-world' networks: they have tightly interconnected clusters of nodes, and a shortest mean path length that is similar to a matched random graph (same number of nodes and edges). This semi-quantitative definition leads to a categorical distinction ('small/not-small') rather than a quantitative, continuous grading of networks, and can lea…

  • Complex brain networks

    Open Access•Edward T Bullmore, Ed Bullmore et al.•ARTICLE•Nature Reviews Neuroscience•2009

  • Redrawing the Map of Great Britain from a Network of Human Interactions

    Open Access•Carlo Ratti, Stanislav Sobolevsky et al.•ARTICLE•PLoS ONE•2010

    Do regional boundaries defined by governments respect the more natural ways that people interact across space? This paper proposes a novel, fine-grained approach to regional delineation, based on analyzing networks of billions of individual human transactions. Given a geographical area and some measure of the strength of links between its inhabitants, we show how to partition the area into smaller, non-overlapping regions while minimizing the dis…

  • Complex network measures of brain connectivity

    Open Access•Mikail Rubinov, Olaf Sporns•ARTICLE•NeuroImage•2010

  • Multi-scale community organization of the human structural connectome and its relationship with resting-state functional connectivity

    Open Access•Richard F Betzel, Alessandra Griffa et al.•ARTICLE•Network Science•2013•Cited by: 1•References: 4

    The human connectome has been widely studied over the past decade. A principal finding is that it can be decomposed into communities of densely interconnected brain regions. Past studies have often used single-scale modularity measures in order to infer the connectome's community structure, possibly overlooking interesting structure at other organizational scales. In this report, we used the partition stability framework, which defines communitie…

  • Network maps of the human brain's rich club

    Open Access•Olaf Sporns, Martijn P Van Den Heuvel•ARTICLE•Network Science•2013

    Does the human brain have a central connective core, and, if so, how costly is it? Noninvasive imaging data allow the construction of network maps of the human brain, recording its structural and functional connectivity. A number of studies have reported on various characteristic network attributes, such as a tendency toward local clustering, high global efficiency, the prevalence of specific network motifs, and a pronounced community structure w…

  • From the Phenomenology to the Mechanisms of Consciousness

    Open Access•Masafumi Oizumi, Larissa Albantakis et al.•ARTICLE•PLoS Computational Biology•2014

    This paper presents Integrated Information Theory (IIT) of consciousness 3.0, which incorporates several advances over previous formulations. IIT starts from phenomenological axioms: information says that each experience is specific--it is what it is by how it differs from alternative experiences; integration says that it is unified--irreducible to non-interdependent components; exclusion says that it has unique borders and a particular spatio-te…

Computer Science (7 works) · Neural dynamics and brain function (5 works) · Psychology (5 works) · Artificial Intelligence (4 works) · Functional Brain Connectivity Studies (4 works) · Mathematics (4 works) · Neuroscience (4 works) · Advanced Neuroimaging Techniques and Applications (3 works) · Complex network (3 works) · Functional connectivity (3 works)

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