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Densest diverse subgraphs: How to plan a successful cocktail party with diversity
Dense subgraph discovery methods are routinely used in a variety of applications including
the identification of a team of skilled individuals for collaboration from a social network …
the identification of a team of skilled individuals for collaboration from a social network …
Vimo-Visual analysis of neuronal connectivity motifs
Recent advances in high-resolution connectomics provide researchers with access to
accurate petascale reconstructions of neuronal circuits and brain networks for the first time …
accurate petascale reconstructions of neuronal circuits and brain networks for the first time …
A visual interface for exploring hypotheses about neural circuits
SK Vohra, P Harth, Y Isoe, A Bahl… - … on Visualization and …, 2023 - ieeexplore.ieee.org
One of the fundamental problems in neurobiological research is to understand how neural
circuits generate behaviors in response to sensory stimuli. Elucidating such neural circuits …
circuits generate behaviors in response to sensory stimuli. Elucidating such neural circuits …
Data-driven motif discovery in biological neural networks
Data from a variety of domains are represented as graphs, including social networks,
transportation networks, computer networks, and biological networks. A key question spans …
transportation networks, computer networks, and biological networks. A key question spans …
Signed motif analysis of the Caenorhabditis elegans neuronal network reveals positive feedforward and negative feedback loops
Nervous systems are complex biological networks with largely unknown structural and
functional characteristics. Motif analysis is a robust tool that can reveal unique aspects of …
functional characteristics. Motif analysis is a robust tool that can reveal unique aspects of …
Complex Brain Networks: A Graph-Theoretical Analysis
K Erciyes - Bioinformatics of the Brain, 2024 - taylorfrancis.com
Complex brain networks are large consisting of many functional nodes and many more
connections between them. A complex brain network may be modelled by a graph enabling …
connections between them. A complex brain network may be modelled by a graph enabling …