Emery N. Brown

Orcid: 0000-0003-2668-7819

Affiliations:
  • Massachusetts Institute of Technology, USA
  • Harvard University, USA


According to our database1, Emery N. Brown authored at least 144 papers between 1997 and 2024.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2008, "For contributions to state-space algorithms for point processes and applications to neuroscience data".

Timeline

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Bibliography

2024
Propofol-mediated Unconsciousness Disrupts Progression of Sensory Signals through the Cortical Hierarchy.
J. Cogn. Neurosci., February, 2024

2023
A Study of Robustness of a Closed-Loop System for Blood Pressure Control.
Proceedings of the American Control Conference, 2023

2022
Adaptive State-Space Multitaper Spectral Estimation.
IEEE Signal Process. Lett., 2022

Propofol Anesthesia Alters Cortical Traveling Waves.
J. Cogn. Neurosci., 2022

Continuous action deep reinforcement learning for propofol dosing during general anesthesia.
Artif. Intell. Medicine, 2022

Tonic Electrodermal Activity is a Robust Marker of Psychological and Physiological Changes during Induction of Anesthesia.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
A Model-Based Framework for Assessing the Physiologic Structure of Electrodermal Activity.
IEEE Trans. Biomed. Eng., 2021

Elementary integrate-and-fire process underlies pulse amplitudes in Electrodermal activity.
PLoS Comput. Biol., 2021

A hidden Markov model reliably characterizes ketamine-induced spectral dynamics in macaque local field potentials and human electroencephalograms.
PLoS Comput. Biol., 2021

Robust point-process Granger causality analysis in presence of exogenous temporal modulations and trial-by-trial variability in spike trains.
PLoS Comput. Biol., 2021

PLSO: A generative framework for decomposing nonstationary time-series into piecewise stationary oscillatory components.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Unsupervised Machine Learning Methods for Artifact Removal in Electrodermal Activity.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Theoretical Development of a Closed-Loop System for Blood Pressure Control.
Proceedings of the 2021 American Control Conference, 2021

2020
Model-based physiological noise removal in fast fMRI.
NeuroImage, 2020

Keynote Speaker: Emery N. Brown.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Detecting Loss and Regain of Consciousness during Propofol Anesthesia using Multimodal Indices of Autonomic State.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Multimodal vs Unimodal Estimation of Sympathetic-Driven Arousal States.
Proceedings of the Computing in Cardiology, 2020

Controlling Level of Unconsciousness by Titrating Propofol with Deep Reinforcement Learning.
Proceedings of the Artificial Intelligence in Medicine, 2020

Inferring neural dynamics during burst suppression using a neurophysiology-inspired switching state-space model.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019
State-Space Global Coherence to Estimate the Spatio-Temporal Dynamics of the Coordinated Brain Activity.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

A Systematic Method for Preprocessing and Analyzing Electrodermal Activity.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

A hidden semi-Markov model for estimating burst suppression EEG.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Smoother Adaptive Parametric Spectrograms: An Application to EEG Under General Anesthesia.
Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019

A state-space model for dynamic functional connectivity.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
A Multitaper Frequency-Domain Bootstrap Method.
IEEE Signal Process. Lett., 2018

A probabilistic template of human mesopontine tegmental nuclei from <i>in vivo</i> 7 T MRI.
NeuroImage, 2018

A Point Process Characterization Of Electrodermal Activity.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

A Smoother State Space Multitaper Spectrogram.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Automated Assessment of Loss of Consciousness Using Whisker And Paw Movements During Anesthetic Dosing in Head-Fixed Rodents.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Plenary Sessions.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Robust Estimation of Sparse Narrowband Spectra from Neuronal Spiking Data.
IEEE Trans. Biomed. Eng., 2017

Thalamocortical control of propofol phase-amplitude coupling.
PLoS Comput. Biol., 2017

Sparse spectral estimation from point process observations.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Automated ovarian follicular monitoring: A novel real-time approach.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Design, implementation, and evaluation of a physiological closed-loop control device for medically-induced coma.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

An open-source tool for the transcription of paper-spreadsheet data: Code and supplemental materials available online: Https: //github.com/deskool/images to spreadsheets.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Reference-free removal of EEG-fMRI ballistocardiogram artifacts with harmonic regression.
NeuroImage, 2016

2015
Modulation Depth Estimation and Variable Selection in State-Space Models for Neural Interfaces.
IEEE Trans. Biomed. Eng., 2015

Quantifying Pituitary-Adrenal Dynamics and Deconvolution of Concurrent Cortisol and Adrenocorticotropic Hormone Data by Compressed Sensing.
IEEE Trans. Biomed. Eng., 2015

Probabilistic Common Spatial Patterns for Multichannel EEG Analysis.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Toward an <i>In Vivo</i> Neuroimaging Template of Human Brainstem Nuclei of the Ascending Arousal, Autonomic, and Motor Systems.
Brain Connect., 2015

An enhanced cerebral recovery index for coma prognostication following cardiac arrest.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Characterization of fear conditioning and fear extinction by analysis of electrodermal activity.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Estimating a dynamic state to relate neural spiking activity to behavioral signals during cognitive tasks.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Spatial variation in automated burst suppression detection in pharmacologically induced coma.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
A Concurrent Brain-Machine Interface for Enhanced Sequential Motor Function.
Proceedings of the Brain-Computer Interface Research - A State-of-the-Art Summary 3, 2014

State-Space Models for the Analysis of Neural Spike Train and Behavioral Data.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Generalized Linear Models for Point Process Analyses of Neural Spiking Activity.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Convergence and Stability of Iteratively Re-weighted Least Squares Algorithms.
IEEE Trans. Signal Process., 2014

A Review of Multitaper Spectral Analysis.
IEEE Trans. Biomed. Eng., 2014

A Subspace Pursuit-based Iterative Greedy Hierarchical solution to the neuromagnetic inverse problem.
NeuroImage, 2014

Likelihood Methods for Point Processes with Refractoriness.
Neural Comput., 2014

Algorithms for the analysis of ensemble neural spiking activity using simultaneous-event multivariate point-process models.
Frontiers Comput. Neurosci., 2014

Neural spike train denoising by point process re-weighted iterative smoothing.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013
Assessing the Effects of Pharmacological Agents on Respiratory Dynamics Using Time-Series Modeling.
IEEE Trans. Biomed. Eng., 2013

State space model.
Scholarpedia, 2013

A Brain-Machine Interface for Control of Medically-Induced Coma.
PLoS Comput. Biol., 2013

Encoding Through Patterns: Regression Tree-Based Neuronal Population Models.
Neural Comput., 2013

Real-time segmentation and tracking of brain metabolic state in ICU EEG recordings of burst suppression.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

A brain-machine interface for control of burst suppression in medical coma.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Reference-free harmonic regression technique to remove EEG-fMRI ballistocardiogram artifacts.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012
Broad Range of Neural Dynamics From a Time-Varying FitzHugh-Nagumo Model and its Spiking Threshold Estimation.
IEEE Trans. Biomed. Eng., 2012

A Real-Time Automated Point-Process Method for the Detection and Correction of Erroneous and Ectopic Heartbeats.
IEEE Trans. Biomed. Eng., 2012

State-Space Analysis of Time-Varying Higher-Order Spike Correlation for Multiple Neural Spike Train Data.
PLoS Comput. Biol., 2012

A spatiotemporal dynamic distributed solution to the MEG inverse problem.
NeuroImage, 2012

Mapping of Visual Receptive Fields by Tomographic Reconstruction.
Neural Comput., 2012

Point process time-frequency analysis of dynamic respiratory patterns during meditation practice.
Medical Biol. Eng. Comput., 2012

Uncovering spatial topology represented by rat hippocampal population neuronal codes.
J. Comput. Neurosci., 2012

Exact and Stable Recovery of Sequences of Signals with Sparse Increments via Differential _1-Minimization.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

The effect of different spectro-temporal representations of an input auditory stimulus on the fitting of a point process model of auditory neurons.
Proceedings of the 11th International Conference on Information Science, 2012

Beamforming approach to phase-amplitude modulation analysis of multi-channel EEG.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

A spatially-regularized dynamic source localization algorithm for EEG.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

A fast iterative greedy algorithm for MEG source localization.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Monitoring heartbeat nonlinear dynamics during general anesthesia by using the instantaneous dominant Lyapunov exponent.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
A Point Process Model for Auditory Neurons Considering Both Their Intrinsic Dynamics and the Spectrotemporal Properties of an Extrinsic Signal.
IEEE Trans. Biomed. Eng., 2011

Human Leg Model Predicts Ankle Muscle-Tendon Morphology, State, Roles and Energetics in Walking.
PLoS Comput. Biol., 2011

A Granger Causality Measure for Point Process Models of Ensemble Neural Spiking Activity.
PLoS Comput. Biol., 2011

A hierarchical Bayesian approach for learning sparse spatio-temporal decompositions of multichannel EEG.
NeuroImage, 2011

Corrigendum to a hierarchical bayesian approach for learning sparse spatio-temporal decomposition of multichannel EEG [NeuroImage 56/4 (2011) 1929-1945].
NeuroImage, 2011

Computing Confidence Intervals for Point Process Models.
Neural Comput., 2011

Modeling two-photon calcium fluorescence of episodic V1 recordings using multifrequency analysis.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Bayesian analysis of trinomial data in behavioral experiments and its application to human studies of general anesthesia.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Robust time-varying multivariate coherence estimation: Application to electroencephalogram recordings during general anesthesia.
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.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Correcting for serial dependence in studies of respiratory dynamics.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

A feedback control model for cortisol secretion.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Point-process analysis of neural spiking activity of muscle spindles recorded from thin-film longitudinal intrafascicular electrodes.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

A state-space model of the burst suppression ratio.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Assessing neuronal interactions of cell assemblies during general anesthesia.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Instantaneous assessment of autonomic cardiovascular control during general anesthesia.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
Using Point Process Models to Compare Neural Spiking Activity in the Subthalamic Nucleus of Parkinson's Patients and a Healthy Primate.
IEEE Trans. Biomed. Eng., 2010

Characterizing Nonlinear Heartbeat Dynamics Within a Point Process Framework.
IEEE Trans. Biomed. Eng., 2010

Discrete Time Rescaling Theorem: Determining Goodness of Fit for Discrete Time Statistical Models of Neural Spiking.
Neural Comput., 2010

State-Space Algorithms for Estimating Spike Rate Functions.
Comput. Intell. Neurosci., 2010

Hierarchical Bayesian modeling of inter-trial variability and variational Bayesian learning of common spatial patterns from multichannel EEG.
Proceedings of the IEEE International Conference on Acoustics, 2010

A parallel point-process filter for estimation of goal-directed movements from neural signals.
Proceedings of the IEEE International Conference on Acoustics, 2010

A state space approach to multimodal integration of simultaneously recorded EEG and fMRI.
Proceedings of the IEEE International Conference on Acoustics, 2010

A general statistical framework for assessing Granger causality.
Proceedings of the IEEE International Conference on Acoustics, 2010

Variational Bayesian inference for point process generalized linear models in neural spike trains analysis.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
Assessment of Autonomic Control and Respiratory Sinus Arrhythmia Using Point Process Models of Human Heart Beat Dynamics.
IEEE Trans. Biomed. Eng., 2009

Discrete- and Continuous-Time Probabilistic Models and Algorithms for Inferring Neuronal UP and DOWN States.
Neural Comput., 2009

State-space analysis on time-varying correlations in parallel spike sequences.
Proceedings of the IEEE International Conference on Acoustics, 2009

Assessment of baroreflex control of heart rate during general anesthesia using a point process method.
Proceedings of the IEEE International Conference on Acoustics, 2009

Using point process models to determine the impact of visual cues on basal ganglia activity and behavior of Parkinson's patients.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008
Brain correlates of autonomic modulation: Combining heart rate variability with fMRI.
NeuroImage, 2008

Quantification of the benefit from integrating MEG and EEG data in minimum ℓ<sub>2</sub>-norm estimation.
NeuroImage, 2008

Application of dynamic point process models to cardiovascular control.
Biosyst., 2008

A mixed filter algorithm for cognitive state estimation from simultaneously recorded continuous and binary measures of performance.
Biol. Cybern., 2008

Mixed observation filtering for neural data.
Proceedings of the IEEE International Conference on Acoustics, 2008

A study of probabilistic models for characterizing human heart beat dynamics in autonomic blockade control.
Proceedings of the IEEE International Conference on Acoustics, 2008

Modeling neural spiking activity in the sub-thalamic nucleus of Parkinson's patients and a healthy primate.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

2007
A State-Space Framework for Movement Control to Dynamic Goals Through Brain-Driven Interfaces.
IEEE Trans. Biomed. Eng., 2007

Construction of Point Process Adaptive Filter Algorithms for Neural Systems Using Sequential Monte Carlo Methods.
IEEE Trans. Biomed. Eng., 2007

Signal Processing Algorithms to Decipher Brain Function.
Proceedings of the IEEE International Symposium on Information Theory, 2007

Parameter Estimation and Dynamic Source Localization for the Magnetoencephalography (MEG) Inverse Problem.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

Dynamic models of neural spiking activity.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

2006
Analysis of heartbeat dynamics by point process adaptive filtering.
IEEE Trans. Biomed. Eng., 2006

A State-Space Analysis for Reconstruction of Goal-Directed Movements Using Neural Signals.
Neural Comput., 2006

Modeling the contribution of lamina 5 neuronal and network dynamics to low frequency EEG phenomena.
Biol. Cybern., 2006

A dynamic solution to the ill-conditioned magnetoencephalography (MEG) source localization problem.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Automatic Quantitative Evaluation of Emotions in E-learning Applications.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

Large Scale Kalman Filtering Solutions to the Electrophysiological Source Localization Problem- A MEG Case Study.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

Correction of Erroneous and Ectopic Beats Using a Point Process Adaptive Algorithm.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

2005
Nonstationary noise estimation in functional MRI.
NeuroImage, 2005

Analyzing Functional Connectivity Using a Network Likelihood Model of Ensemble Neural Spiking Activity.
Neural Comput., 2005

2004
Spatiotemporal wavelet analysis for functional MRI.
NeuroImage, 2004

Dynamic Analysis of Neural Encoding by Point Process Adaptive Filtering.
Neural Comput., 2004

Dynamic Analyses of Information Encoding in Neural Ensembles.
Neural Comput., 2004

FMRI signal modeling using laguerre polynomials.
Proceedings of the 2004 International Conference on Image Processing, 2004

Hemodynamic transfer function estimation with Laguerre polynomials and confidence intervals construction, from functional magnetic resonance imaging (fMRI) data.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Measuring Period of Human Biological Clock: Infill Asymptotic Analysis of Harmonic Regression Parameter Estimates.
Proceedings of the Numerical Computer Methods, Part D, 2004

2003
Estimating a State-Space Model from Point Process Observations.
Neural Comput., 2003

Spatial wavelets for temporally correlated FMRI.
Proceedings of the 2003 International Conference on Image Processing, 2003

2002
Motion and Ballistocardiogram Artifact Removal for Interleaved Recording of EEG and EPs during MRI.
NeuroImage, 2002

The Time-Rescaling Theorem and Its Application to Neural Spike Train Data Analysis.
Neural Comput., 2002

Construction and analysis of non-Gaussian spatial models of neural spiking activity.
Neurocomputing, 2002

2001
A Signal Estimation Approach to Functional MRI.
IEEE Trans. Medical Imaging, 2001

Locally Regularized Spatiotemporal Modeling and Model Comparison for Functional MRI.
NeuroImage, 2001

Diagnostic methods for statistical models of place cell spiking activity.
Neurocomputing, 2001

Spatio-temporal signal processing for multisubject functional MRI studies.
Proceedings of the IEEE International Conference on Acoustics, 2001

2000
A time-dependent analysis of spatial information encoding in the rat hippocampus.
Neurocomputing, 2000

1999
Model Comparison for Functional MRI.
Proceedings of the 1999 International Conference on Image Processing, 1999

1998
Regularization for Functional MRI Models.
Proceedings of the 1998 IEEE International Conference on Image Processing, 1998

1997
A Signal Processing Approach to Functional MRI for Brain Mapping.
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997


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