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Robustness and resilience of complex networks
Complex networks are ubiquitous: a cell, the human brain, a group of people and the
Internet are all examples of interconnected many-body systems characterized by …
Internet are all examples of interconnected many-body systems characterized by …
More is different in real-world multilayer networks
M De Domenico - Nature Physics, 2023 - nature.com
The constituents of many complex systems are characterized by non-trivial connectivity
patterns and dynamical processes that are well captured by network models. However, most …
patterns and dynamical processes that are well captured by network models. However, most …
Increased global integration in the brain after psilocybin therapy for depression
Psilocybin therapy shows antidepressant potential, but its therapeutic actions are not well
understood. We assessed the subacute impact of psilocybin on brain function in two clinical …
understood. We assessed the subacute impact of psilocybin on brain function in two clinical …
PLD3 affects axonal spheroids and network defects in Alzheimer's disease
The precise mechanisms that lead to cognitive decline in Alzheimer's disease are unknown.
Here we identify amyloid-plaque-associated axonal spheroids as prominent contributors to …
Here we identify amyloid-plaque-associated axonal spheroids as prominent contributors to …
Superglue: Learning feature matching with graph neural networks
This paper introduces SuperGlue, a neural network that matches two sets of local features
by jointly finding correspondences and rejecting non-matchable points. Assignments are …
by jointly finding correspondences and rejecting non-matchable points. Assignments are …
Towards a biologically annotated brain connectome
The brain is a network of interleaved neural circuits. In modern connectomics, brain
connectivity is typically encoded as a network of nodes and edges, abstracting away the rich …
connectivity is typically encoded as a network of nodes and edges, abstracting away the rich …
Discovery of senolytics using machine learning
V Smer-Barreto, A Quintanilla, RJR Elliott… - Nature …, 2023 - nature.com
Cellular senescence is a stress response involved in ageing and diverse disease processes
including cancer, type-2 diabetes, osteoarthritis and viral infection. Despite growing interest …
including cancer, type-2 diabetes, osteoarthritis and viral infection. Despite growing interest …
From networks to optimal higher-order models of complex systems
From networks to optimal higher-order models of complex systems | Nature Physics Skip to main
content Thank you for visiting nature.com. You are using a browser version with limited support …
content Thank you for visiting nature.com. You are using a browser version with limited support …
Graph theory methods: applications in brain networks
O Sporns - Dialogues in clinical neuroscience, 2018 - Taylor & Francis
Network neuroscience is a thriving and rapidly expanding field. Empirical data on brain
networks, from molecular to behavioral scales, are ever increasing in size and complexity …
networks, from molecular to behavioral scales, are ever increasing in size and complexity …
Network neuroscience
Despite substantial recent progress, our understanding of the principles and mechanisms
underlying complex brain function and cognition remains incomplete. Network neuroscience …
underlying complex brain function and cognition remains incomplete. Network neuroscience …