about
Spatially clustered neuronal assemblies comprise the microstructure of synchrony in chronically epileptic networks.Functional clustering algorithm for the analysis of dynamic network dataStimulation-Based Control of Dynamic Brain NetworksSmall-World Propensity and Weighted Brain NetworksThe role of inhibition in epileptic networks.Memory formation: from network structure to neural dynamics.Structure, function, and control of the human musculoskeletal network.Multilayer network modeling creates opportunities for novel network statistics: Comment on "Network science of biological systems at different scales: A review" by Gosak et al.GABAergic inhibition shapes interictal dynamics in awake epileptic mice.The Energy Landscape of Neurophysiological Activity Implicit in Brain Network Structure.Why network neuroscience? Compelling evidence and current frontiers. Comment on "Understanding brain networks and brain organization" by Luiz Pessoa.Functional Brain States Measure Mentor-Trainee Trust during Robot-Assisted Surgery.Functional clustering in hippocampal cultures: relating network structure and dynamics.Locally stable brain states predict suppression of epileptic activity by enhanced cognitive effort.Data-driven brain network models differentiate variability across language tasksPersonalized brain network models for assessing structure–function relationshipsClustering Brain-Network Time Series by Riemannian GeometryApplications of community detection techniques to brain graphs: Algorithmic considerations and implications for neural functionMultilayer Brain NetworksRiemannian multi-manifold modeling and clustering in brain networksClustering brain-network-connectivity states using kernel partial correlationsClustering time-varying connectivity networks by riemannian geometry: The brain-network caseNetwork and Multilayer Network Approaches to Understanding Human Brain DynamicsOn Human Brain Networks in Health and DiseaseHippocampus, Model Network ArchitectureInelastic Gravitational BilliardsCognitive chimera states in human brain networks
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Sarah Feldt Muldoon
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