Nicholas F. Wymbs

Neuroscience · Life Sciences

23h-index4.5kcitations75works1.02yr avg
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Research Topics

Functional Brain Connectivity Studies(41), Advanced Neuroimaging Techniques and Applications(22), Neural dynamics and brain function(21), EEG and Brain-Computer Interfaces(11), Fetal and Pediatric Neurological Disorders(10)

Publications75 total

CASPAR Data Hosting for ReSCIND Project
OSF Preprints (OSF Preprints)·2025
Physiological Response to Cyber and Psychological Deception
Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences·2024· 2 citedOpen Access
A Convolutional Network Adaptation for Cortical Classification During Mobile Brain Imaging
arXiv (Cornell University)·2023Open Access
U-EEG: A Deep Learning Autoencoder for the Detection of Ocular Artifact in EEG Signal
2021· 4 cited
Deep sr-DDL: Deep structurally regularized dynamic dictionary learning to integrate multimodal and dynamic functional connectomics data for multidimensional clinical characterizations
NeuroImage·2021· 18 citedOpen Access
A Matrix Autoencoder Framework to Align the Functional and Structural Connectivity Manifolds as Guided by Behavioral Phenotypes
arXiv (Cornell University)·2021· 1 citedOpen Access
A Matrix Autoencoder Framework to Align the Functional and Structural\n Connectivity Manifolds as Guided by Behavioral Phenotypes
arXiv (Cornell University)·2021Open Access
Altered Inferior Parietal Functional Connectivity is Correlated with Praxis and Social Skill Performance in Children with Autism Spectrum Disorder
Cerebral Cortex·2020· 45 citedOpen Access
Task-Based Core-Periphery Organization of Human Brain Dynamics
UNC Libraries·2020· 1 citedOpen Access
Differential Recruitment of the Sensorimotor Putamen and Frontoparietal Cortex during Motor Chunking in Humans
UNC Libraries·2020Open Access
Cross-linked structure of network evolution
UNC Libraries·2020Open Access
Robust detection of dynamic community structure in networks
UNC Libraries·2020· 1 citedOpen Access
Deep sr-DDL: Deep Structurally Regularized Dynamic Dictionary Learning\n to Integrate Multimodal and Dynamic Functional Connectomics data for\n Multidimensional Clinical Characterizations
arXiv (Cornell University)·2020Open Access
A Joint Network Optimization Framework to Predict Clinical Severity from Resting State Functional MRI Data
arXiv (Cornell University)·2020· 1 citedOpen Access
Deep sr-DDL: Deep Structurally Regularized Dynamic Dictionary Learning to Integrate Multimodal and Dynamic Functional Connectomics data for Multidimensional Clinical Characterizations
PubMed·2020· 1 citedOpen Access
A Joint Network Optimization Framework to Predict Clinical Severity from\n Resting State Functional MRI Data
arXiv (Cornell University)·2020Open Access
A Coupled Manifold Optimization Framework to Jointly Model the\n Functional Connectomics and Behavioral Data Spaces
arXiv (Cornell University)·2020Open Access
Integrating Neural Networks and Dictionary Learning for Multidimensional Clinical Characterizations from Functional Connectomics Data
arXiv (Cornell University)·2020Open Access
A Deep-Generative Hybrid Model to Integrate Multimodal and Dynamic Connectivity for Predicting Spectrum-Level Deficits in Autism
arXiv (Cornell University)·2020· 4 citedOpen Access
A Coupled Manifold Optimization Framework to Jointly Model the Functional Connectomics and Behavioral Data Spaces
arXiv (Cornell University)·2020Open Access
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Frequent Co-authors

Scott T. Grafton(26), Danielle S. Bassett(19), Stewart H. Mostofsky(15), Mary Beth Nebel(12), Archana Venkataraman(11), Niharika Shimona D’Souza(8), Mason A. Porter(6), Peter J. Mucha(6), Marcelo G. Mattar(5), Deana Crocetti(5), M. Puck Rombach(3), Kristin Jakubek(3), Jean M. Vettel(3), Joan Kaufman(3), Janitza L. Montalvo‐Ortiz(3), Catherine Orr(3), Matthew D. Albaugh(3), Robert R. Althoff(3), Kerry O’Loughlin(3), Hannah Holbrook(3)