Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Robyn L Miller

Showing results (31-40 of 72) with videos related to

Pageof 8
Sort By:
Biorxiv : the Preprint Server for Biology|February 6, 2026
When Randomness Becomes Rigid: Dynamic Connectivity Entropy and Symptom-Linked Network Dysfunction in SchizophreniaNatalia Maksymchuk, Robyn L Miller, Armin Iraji, et al.
Biorxiv : the Preprint Server for Biology|July 3, 2023
Improving Multichannel Raw Electroencephalography-based Diagnosis of Major Depressive Disorder by Pretraining Deep Learning Models with Single Channel Sleep Stage DataCharles A Ellis, Abhinav Sattiraju, Robyn L Miller, et al.
Frontiers in Neuroscience|March 26, 2016
Approaches to Capture Variance Differences in Rest fMRI Networks in the Spatial Geometric Features: Application to SchizophreniaShruti Gopal, Robyn L Miller, Stefi A Baum, et al.
Biorxiv : the Preprint Server for Biology|March 13, 2023
NOVEL APPROACH EXPLAINS SPATIO-SPECTRAL INTERACTIONS IN RAW ELECTROENCEPHALOGRAM DEEP LEARNING CLASSIFIERSCharles A Ellis, Abhinav Sattiraju, Robyn L Miller, et al.
Biorxiv : the Preprint Server for Biology|October 24, 2023
Improving Multichannel Raw Electroencephalography-based Diagnosis of Major Depressive Disorder via Transfer Learning with Single Channel Sleep Stage DataCharles A Ellis, Abhinav Sattiraju, Robyn L Miller, et al.
Biorxiv : the Preprint Server for Biology|July 3, 2023
An Explainable and Robust Deep Learning Approach for Automated Electroencephalography-based Schizophrenia DiagnosisAbhinav Sattiraju, Charles A Ellis, Robyn L Miller, et al.
Neuroimage|July 12, 2015
Dynamic coherence analysis of resting fMRI data to jointly capture state-based phase, frequency, and time-domain informationMaziar Yaesoubi, Elena A Allen, Robyn L Miller, et al.
Biorxiv : the Preprint Server for Biology|January 3, 2024
MARKOV SPATIAL FLOWS IN BOLD FMRI: A NOVEL LENS ON THE BOLD SIGNAL REVEALS ATTRACTING PATTERNS OF SIGNAL INTENSITYRobyn L Miller, Victor M Vergara, Erik B Erhardt, et al.
Frontiers in Neuroscience|May 6, 2022
Multiframe Evolving Dynamic Functional Connectivity <i>(EVOdFNC)</i>: A Method for Constructing and Investigating Functional Brain MotifsRobyn L Miller, Victor M Vergara, Godfrey D Pearlson, et al.
Biorxiv : the Preprint Server for Biology|February 26, 2024
Identifying Reproducibly Important EEG Markers of Schizophrenia with an Explainable Multi-Model Deep Learning ApproachMartina Lapera Sancho, Charles A Ellis, Robyn L Miller, et al.
Pageof 8

Showing results (31-40 of 72) with videos related to

Sort By:
Pageof 8
Biorxiv : the Preprint Server for Biology|February 6, 2026
When Randomness Becomes Rigid: Dynamic Connectivity Entropy and Symptom-Linked Network Dysfunction in SchizophreniaNatalia Maksymchuk, Robyn L Miller, Armin Iraji, et al.
Biorxiv : the Preprint Server for Biology|July 3, 2023
Improving Multichannel Raw Electroencephalography-based Diagnosis of Major Depressive Disorder by Pretraining Deep Learning Models with Single Channel Sleep Stage DataCharles A Ellis, Abhinav Sattiraju, Robyn L Miller, et al.
Frontiers in Neuroscience|March 26, 2016
Approaches to Capture Variance Differences in Rest fMRI Networks in the Spatial Geometric Features: Application to SchizophreniaShruti Gopal, Robyn L Miller, Stefi A Baum, et al.
Biorxiv : the Preprint Server for Biology|March 13, 2023
NOVEL APPROACH EXPLAINS SPATIO-SPECTRAL INTERACTIONS IN RAW ELECTROENCEPHALOGRAM DEEP LEARNING CLASSIFIERSCharles A Ellis, Abhinav Sattiraju, Robyn L Miller, et al.
Biorxiv : the Preprint Server for Biology|October 24, 2023
Improving Multichannel Raw Electroencephalography-based Diagnosis of Major Depressive Disorder via Transfer Learning with Single Channel Sleep Stage DataCharles A Ellis, Abhinav Sattiraju, Robyn L Miller, et al.
Biorxiv : the Preprint Server for Biology|July 3, 2023
An Explainable and Robust Deep Learning Approach for Automated Electroencephalography-based Schizophrenia DiagnosisAbhinav Sattiraju, Charles A Ellis, Robyn L Miller, et al.
Neuroimage|July 12, 2015
Dynamic coherence analysis of resting fMRI data to jointly capture state-based phase, frequency, and time-domain informationMaziar Yaesoubi, Elena A Allen, Robyn L Miller, et al.
Biorxiv : the Preprint Server for Biology|January 3, 2024
MARKOV SPATIAL FLOWS IN BOLD FMRI: A NOVEL LENS ON THE BOLD SIGNAL REVEALS ATTRACTING PATTERNS OF SIGNAL INTENSITYRobyn L Miller, Victor M Vergara, Erik B Erhardt, et al.
Frontiers in Neuroscience|May 6, 2022
Multiframe Evolving Dynamic Functional Connectivity <i>(EVOdFNC)</i>: A Method for Constructing and Investigating Functional Brain MotifsRobyn L Miller, Victor M Vergara, Godfrey D Pearlson, et al.
Biorxiv : the Preprint Server for Biology|February 26, 2024
Identifying Reproducibly Important EEG Markers of Schizophrenia with an Explainable Multi-Model Deep Learning ApproachMartina Lapera Sancho, Charles A Ellis, Robyn L Miller, et al.
Pageof 8