Michael J. Prerau

According to our database, Michael J. Prerau authored at least 13 papers between 2002 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

A Quantitative Representation of Continuous Brain State During Sleep.

Hyeon Jin Kim, Shuqiang Chen, Uri T. Eden, Michael J. Prerau

Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021

2020

Estimation of Time-Varying Spectral Peaks and Decomposition of EEG Spectrograms.

Patrick A. Stokes, Michael J. Prerau

IEEE Access, 2020

2019

Sparse Multi-task Inverse Covariance Estimation for Connectivity Analysis in EEG Source Space.

Feng Liu, Emily P. Stephen, Michael J. Prerau, Patrick L. Purdon

Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

Multitaper Infinite Hidden Markov Model for EEG.

Andrew H. Song, Leon Chlon, Hugo Soulat, John Tauber, Sandya Subramanian, Demba E. Ba, Michael J. Prerau

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

Multitaper Spectral Estimation HDP-HMMs for EEG Sleep Inference.

Leon Chlon, Andrew H. Song, Sandya Subramanian, Hugo Soulat, John Tauber, Demba E. Ba, Michael J. Prerau

CoRR, 2018

2014

Tracking the Sleep Onset Process: An Empirical Model of Behavioral and Physiological Dynamics.

Michael J. Prerau, Katie E. Hartnack, Gabriel Obregon-Henao, Aaron L. Sampson, Margaret Merlino, Karen Gannon, Matt T. Bianchi, Jeffrey M. Ellenbogen, Patrick L. Purdon

PLoS Comput. Biol., 2014

2013

Tracking non-stationary spectral peak structure in EEG data.

Michael J. Prerau, Patrick L. Purdon, Uri T. Eden

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012

Beamforming approach to phase-amplitude modulation analysis of multi-channel EEG.

Aaron L. Sampson, Behtash Babadi, Michael J. Prerau, Eran A. Mukamel, Emery N. Brown, Patrick L. Purdon

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011

A General Likelihood Framework for Characterizing the Time Course of Neural Activity.

Michael J. Prerau, Uri T. Eden

Neural Comput., 2011

Bayesian analysis of trinomial data in behavioral experiments and its application to human studies of general anesthesia.

Kin Foon Kevin Wong, Anne C. Smith, Eric T. Pierce, P. Grace Harrell, John L. Walsh, Andres Felipe Salazar, Casie L. Tavares, Aylin Cimenser, Michael J. Prerau, Eran A. Mukamel, Aaron L. Sampson, Patrick L. Purdon, Emery N. Brown

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Phase-based measures of cross-frequency coupling in brain electrical dynamics under general anesthesia.

Eran A. Mukamel, Kin Foon Wong, Michael J. Prerau, Emery N. Brown, Patrick L. Purdon

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2008

A mixed filter algorithm for cognitive state estimation from simultaneously recorded continuous and binary measures of performance.

Michael J. Prerau, Anne C. Smith, Uri T. Eden, Marianna Yanike, Wendy A. Suzuki, Emery N. Brown

Biol. Cybern., 2008

2002

A Geometric Framework for Unsupervised Anomaly Detection.

Eleazar Eskin, Andrew Arnold, Michael J. Prerau, Leonid Portnoy, Salvatore J. Stolfo

Proceedings of the Applications of Data Mining in Computer Security, 2002