Brain Networks and Cognitive Architectures
By Steven E. Petersen, Olaf Sporns. Neuron, 2015
495 citations recorded by the source corpus.
Most accounts of human cognitive architectures have focused on computational accounts of cognition while making little contact with the study of anatomical structures and physiological processes. A renewed convergence between neurobiology and cognition is well underway. A promising area arises from the overlap between systems/cognitive neuroscience on the one side and the discipline of network science on the other. Neuroscience increasingly adopts network tools and concepts to describe the operation of collections of brain regions. Beyond just providing illustrative metaphors, network science offers a theoretical framework for approaching brain structure and function as a multi-scale system comprised of networks of neurons, circuits, nuclei, cortical areas and systems of areas. This paper views large-scale networks at the level of areas and systems, mostly based on data from human neuroimaging, and how this view of network structure and function has begun to illuminate our understanding of the biological basis of cognitive architectures.
Subfields: Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/c660e148156ee43b4f241caae268acde3e2d1c62
How researchers see this paper
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In Cognitive Neuroscience
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Citations in the corpus
- The Dynamics of Functional Brain Networks: Integrated Network States during Cognitive Task Performance (2015, unknown): “Introduction A fundamental characteristic of higher brain function is the ability to flexibly integrate communication between a range of specialized sub-‐‐networks (1,2).”
- Emotion and the Prefrontal Cortex: An Integrative Review (2017, background): “…to support complex functions (Buckner, Krienen, & Yeo, 2013; Bullmore & Sporns, 2009; Fox & Raichle, 2007; Medaglia, Lynall, & Bassett, 2015; Petersen & Sporns, 2015), some brain regions are better suited to perform certain functions than others—a phenomenon reflected in the concept of…”
- Application of Graph Theory for Identifying Connectivity Patterns in Human Brain Networks: A Systematic Review (2019, background): “Graph Theory Recent advances in neuroimaging modalities combined with graph theoretical approaches have opened new avenues toward studying the neural mechanisms underlying human cognition and behavior from the view of interregional brain interactions (Park and Friston, 2013; Pessoa, 2014; Sporns, 20”
- Neural interactions in the human frontal cortex dissociate reward and punishment learning (2024, background): “…linking distributed and functionally redundant subnetworks through synergistic interactions hence supporting flexible cognition (Fedorenko and Thompson-Schill, 2014; Petersen and Sporns, 2015; Bassett and Mattar, 2017; Hunt and Hayden, 2017; Averbeck and Murray, 2020; Averbeck and O’Doherty, 2022).”