158 citations · 313 across the 6 of their papers we have counts for
7 papers
Cognitive Networks and Performance Drive fMRI-Based State Classification Using DNN Models
Murat Kucukosmanoglu, Javier O. Garcia, Justin Brooks +1
Deep neural network (DNN) models have demonstrated impressive performance in various domains, yet their application in cognitive neuroscience is limited due to their lack of interp…
Optimizing parameter search for community detection in time evolving networks of complex systems
ItaloIvo Lima Dias Pinto, Javier Omar Garcia, Kanika Bansal
Network representations have been effectively employed to analyze complex systems across various areas and applications, leading to the development of network science as a core too…
Flexibility of brain regions during working memory curtails cognitive consequences to lack of sleep
Nina Lauharatanahirun, Kanika Bansal, Steven M. Thurman +7
Previous research has shown a clear relationship between sleep and memory, examining the impact of sleep deprivation on key cognitive processes over very short durations or in spec…
Scale-specific dynamics of large-amplitude bursts in EEG capture behaviorally meaningful variability
Kanika Bansal, Javier O. Garcia, Nina Lauharatanahirun +3
Cascading large-amplitude bursts in neural activity, termed avalanches, are thought to provide insight into the complex spatially distributed interactions in neural systems. In hum…
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…
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…