165 citations · 531 across the 18 of their papers we have counts for
5 papers · 1 filter
Cognitive chimera states in human brain networks
Kanika Bansal, Javier O. Garcia, Steven H. Tompson +3
The human brain is a complex dynamical system that gives rise to cognition through spatiotemporal patterns of coherent and incoherent activity between brain regions. As different r…
Optimizing state change detection in functional temporal networks through dynamic community detection
Michael Vaiana, Sarah F. Muldoon
Dynamic community detection provides a coherent description of network clusters over time, allowing one to track the growth and death of communities as the network evolves. However…
Resolution Limits for Detecting Community Changes in Multilayer Networks
Michael Vaiana, Sarah Muldoon
Multilayer networks capture pairwise relationships between the components of complex systems across multiple modes or scales of interactions. An important meso-scale feature of the…
Data-driven brain network models predict individual variability in behavior
Kanika Bansal, John D. Medaglia, Danielle S. Bassett +2
The relationship between brain structure and function has been probed using a variety of approaches, but how the underlying structural connectivity of the human brain drives behavi…
Personalized brain network models for assessing structure-function relationships
Kanika Bansal, Johan Nakuci, Sarah Feldt Muldoon
Many recent efforts in computational modeling of macro-scale brain dynamics have begun to take a data-driven approach by incorporating structural and/or functional information deri…