3 papers
eess.SY2021
Efficient state and parameter estimation for high-dimensional nonlinear system identification with application to MEG brain network modeling
Matthew F. Singh, Chong Wang, Michael W. Cole +1
System identification poses a significant bottleneck to characterizing and controlling complex systems. This challenge is greatest when both the system states and parameters are no…
q-bio.NC2019
Discovering the Computational Relevance of Brain Network Organization
Takuya Ito, Luke Hearne, Ravi Mill +2
Understanding neurocognitive computations will require not just localizing cognitive information distributed throughout the brain but also determining how that information got ther…
cs.CV2018
Similarity Learning with Higher-Order Graph Convolutions for Brain Network Analysis
Guixiang Ma, Nesreen K. Ahmed, Ted Willke +4
Learning a similarity metric has gained much attention recently, where the goal is to learn a function that maps input patterns to a target space while preserving the semantic dist…