Sarah Feldt Muldoon

Affiliations:
  • University at Buffalo, NY, USA
  • University of Pennsylvania, Philadelphia, PA, USA


According to our database1, Sarah Feldt Muldoon authored at least 15 papers between 2014 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2021
Network clustering via kernel-ARMA modeling and the Grassmannian: The brain-network case.
Signal Process., 2021

Scale-specific dynamics of high-amplitude bursts in EEG capture behaviorally meaningful variability.
NeuroImage, 2021

Online Classification of Dynamic Multilayer-Network Time Series in Riemannian Manifolds.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Multilayer Brain Networks.
J. Nonlinear Sci., 2020

2019
Brain-Network Clustering via Kernel-ARMA Modeling and the Grassmannian.
CoRR, 2019

Optimizing state change detection in functional temporal networks through dynamic community detection.
J. Complex Networks, 2019

2018
Clustering Brain-Network Time Series by Riemannian Geometry.
IEEE Trans. Signal Inf. Process. over Networks, 2018

Data-driven brain network models differentiate variability across language tasks.
PLoS Comput. Biol., 2018

Applications of Community Detection Techniques to Brain Graphs: Algorithmic Considerations and Implications for Neural Function.
Proc. IEEE, 2018

Resolution Limits for Detecting Community Changes in Multilayer Networks.
CoRR, 2018

2017
Riemannian-geometry-based modeling and clustering of network-wide non-stationary time series: The brain-network case.
CoRR, 2017

2016
Stimulation-Based Control of Dynamic Brain Networks.
PLoS Comput. Biol., 2016

Clustering time-varying connectivity networks by riemannian geometry: The brain-network case.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Clustering brain-network-connectivity states using kernel partial correlations.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2014
Hippocampus, Model Network Architecture.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014


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