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PodručjeNeurooslikavanjeNeurooslikavanje
ObiteljProcess / pipelineProcess / pipeline
Godina nastanka20082009
TvoracNikolaus KriegeskorteEd Bullmore
VrstafMRI similarity structure comparisonBrain network graph analysis pipeline
Temeljni izvorKriegeskorte, N., Mur, M., & Bandettini, P. A. (2008). Representational similarity analysis—connecting the branches of systems neuroscience. Frontiers in Systems Neuroscience, 2, 4. DOI ↗Bullmore, E., & Sporns, O. (2009). Complex brain networks: graph theoretical analysis of structural and functional systems. Nature Reviews Neuroscience, 10(3), 186–198. DOI ↗
Drugi naziviRSA, representational geometry, similarity structure analysisgraph theory, brain network analysis, network neuroscience
Srodne33
SažetakRepresentational Similarity Analysis (RSA) is a framework for comparing representational geometry across brain regions, computational models, and behavioral measures. Introduced by Kriegeskorte and colleagues in 2008, RSA measures how similarly a brain region represents different stimuli or concepts by examining pairwise similarity structure rather than absolute activity patterns.Graph Theoretical Brain Network Analysis applies network science to understand brain organization, treating the brain as a complex network of interconnected nodes (regions) and edges (connections). Formalized by Bullmore and Sporns in 2009, graph analysis reveals fundamental organizational principles—modularity, efficiency, resilience—that characterize healthy and diseased brains.
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ScholarGateUsporedite metode: Representational Similarity Analysis · Graph Brain Network Analysis. Preuzeto 2026-06-18 s https://scholargate.app/hr/compare