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Neural Computation|July 8, 2011
A general likelihood framework for characterizing the time course of neural activityMichael J Prerau, Uri T EdenAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
Tracking non-stationary spectral peak structure in EEG dataMichael J Prerau, Patrick L Purdon, Uri T EdenSleep|August 6, 2022
Dynamic models of obstructive sleep apnea provide robust prediction of respiratory event timing and a statistical framework for phenotype explorationShuqiang Chen, Susan Redline, Uri T Eden, et al.Sleep Medicine|September 22, 2019
Quantifying statistical uncertainty in metrics of sleep disordered breathingRobert J Thomas, Shuqiang Chen, Uri T Eden, et al.Hippocampus|January 18, 2014
Characterizing context-dependent differential firing activity in the hippocampus and entorhinal cortexMichael J Prerau, Paul A Lipton, Howard B Eichenbaum, et al.Biorxiv : the Preprint Server for Biology|March 11, 2024
Individualized temporal patterns dominate cortical upstate and sleep depth in driving human sleep spindle timingShuqiang Chen, Mingjian He, Ritchie E Brown, et al.Proceedings of the National Academy of Sciences of the United States of America|January 8, 2025
Individualized temporal patterns drive human sleep spindle timingShuqiang Chen, Mingjian He, Ritchie E Brown, et al.IEEE Transactions on Bio-Medical Engineering|June 11, 2025
A State-Space Framework for Causal Detection of Hippocampal Ripple-Replay EventsSirui Zeng, Uri T EdenArxiv|February 24, 2025
A state-space framework for causal detection of hippocampal ripple-replay eventsSirui Zeng, Uri T EdenIEEE Access : Practical Innovations, Open Solutions|April 5, 2021
Estimation of Time-Varying Spectral Peaks and Decomposition of EEG SpectrogramsPatrick A Stokes, Michael J PrerauPageof 11