Division of Sleep Medicine @ Harvard Medical School
Faculty Profile
Emery N. Brown, MD, PhD
Warren M. Zapol Professor of Anaesthesia, Harvard Medical School
Anesthetist, Department of Anesthesia, Massachusetts General Hospital
Administrative Title(s)
Director, Neuroscience Statistics Research Laboratory, Department of Anesthesia and Critical Care, Massachusetts General Hospital
Other Affiliation(s)
Professor of Computational Neuroscience
Professor of Health Sciences and Technology, Massachusetts Institute of Technology
Professor of Health Sciences and Technology, Massachusetts Institute of Technology
Research Unit(s)
Neuroscience Statistics Research Laboratory, Department of Anesthesia and Critical Care, Massachusetts General Hospital
Research Interests
Neural Signal Processing Algorithms
Recent technological and experimental advances in the capabilities to record signals from neural systems have led to an unprecedented increase in the types and volume of data collected in neuroscience experiments and hence, in the need for appropriate techniques to analyze them. Therefore, using combinations of likelihood, Bayesian, state-space, time-series and point process approaches, a primary focus of the research in my laboratory is the development of statistical methods and signal-processing algorithms for neuroscience data analysis.
We have used our methods to:
Understanding General Anesthesia
General anesthesia is a neurophysiological state in which a patient is rendered unconscious, insensitive to pain, amnestic, and immobile, while being maintained physiologically stable. General anesthesia has been administered in the U.S. for nearly 160 years and currently, more than 50,000 people receive anesthesia daily in this country for surgery alone. Still, the mechanism by which an anesthetic drug induces general anesthesia remains a medical mystery. A new research direction in my laboratory is to use a systems neuroscience approach to study how the state of general anesthesia is induced and maintained. To do so, we are using fMRI, EEG, neurophysiological recordings, microdialysis methods and mathematical modeling in interdisciplinary collaborations with investigators in BCS, the MIT/Harvard Division of Health Science and Technology, Massachusetts General Hospital and Boston University. The long-term goal of this research is to establish a neurophysiological definition of anesthesia, safer, site-specific anesthetic drugs and to develop better neurophysiologically-based methods for measuring depth of anesthesia.
Recent technological and experimental advances in the capabilities to record signals from neural systems have led to an unprecedented increase in the types and volume of data collected in neuroscience experiments and hence, in the need for appropriate techniques to analyze them. Therefore, using combinations of likelihood, Bayesian, state-space, time-series and point process approaches, a primary focus of the research in my laboratory is the development of statistical methods and signal-processing algorithms for neuroscience data analysis.
We have used our methods to:
- characterize how hippocampal neurons represent spatial information in their ensemble firing patterns.
- analyze formation of spatial receptive fields in the hippocampus during learning of novel environments.
- relate changes in hippocampal neural activity to changes in performance during procedural learning.
- improve signal extraction from fMR imaging time-series.
- characterize the spiking properties of neurons in primary motor cortex.
- localize dynamically sources of neural activity in the brain from EEG and MEG recordings made during cognitive, motor and somatosensory tasks.
- measure the period of the circadian pacemaker (human biological clock) and its sensitivity to light.
- characterize the dynamics of human heart beats in physiological and pathological states.
Understanding General Anesthesia
General anesthesia is a neurophysiological state in which a patient is rendered unconscious, insensitive to pain, amnestic, and immobile, while being maintained physiologically stable. General anesthesia has been administered in the U.S. for nearly 160 years and currently, more than 50,000 people receive anesthesia daily in this country for surgery alone. Still, the mechanism by which an anesthetic drug induces general anesthesia remains a medical mystery. A new research direction in my laboratory is to use a systems neuroscience approach to study how the state of general anesthesia is induced and maintained. To do so, we are using fMRI, EEG, neurophysiological recordings, microdialysis methods and mathematical modeling in interdisciplinary collaborations with investigators in BCS, the MIT/Harvard Division of Health Science and Technology, Massachusetts General Hospital and Boston University. The long-term goal of this research is to establish a neurophysiological definition of anesthesia, safer, site-specific anesthetic drugs and to develop better neurophysiologically-based methods for measuring depth of anesthesia.
Trainees
Masters Students
2003-2006 Esosa O. Amayo
2004-2005 Neil U. Desai
Ph.D. Students
1992-1993 Patricia Meehan
1998-2005 Patrick Purdon
2000-2005 Uri Eden
2002-2006 Cecilia Behn
2004-2006 Lakshminarayan Srinivasan
2001-2007 Sujith Vijayan
2002-2007 Michelle McCarthy
2005-2008 Anna Dreyer
Current Ph.D. Students
2005- Dennis Dean
2006- Antonio Molins
2007- Patrick Stokes
2007- Stuart Layton
2007- Camilo Lamus
2007- Veronica Weiner
2007- Iahn Cajigas
2008- Demba Ba
2008- Deriba Olana
2008- Pavitra Krishnaswamy
2008- Maryam Modir Shanechi
Post-Doctoral Fellows
1997-1999 Ao Yuan
1998-2000 Riccardo Barbieri
1998-2000 Harry P. Luithardt
1999-2004 Anne C. Smith
2000-2003 Loren M. Frank
2000-2003 Catherine Mullaly
2001-2006 Christopher Long
2003-2004 Joao Scalon
2003-2007 Murat Okatan
2004-2007 Gabriela Czanner
2005-2006 Uri Eden
2005-2006 Todd Coleman
2007-2008 Gordon Pipa
Current Post-Doctoral Fellows
2003- Supratim Saha
2004- Robert Haslinger
2005- Simona Temereanca
2006- Srideva Sarma
2007- Zhe Chen
2008- Aylin Cimenser
2008- Kevin Wong
2008- Francisco Flores
2008- Christa Van Dort
2008- Wasim Malik
2008- David Nguyen
2009- ShiNung Ching
2009- David Putrino
2009- SangGyun Kim
2009- Eric Plourde
2003-2006 Esosa O. Amayo
2004-2005 Neil U. Desai
Ph.D. Students
1992-1993 Patricia Meehan
1998-2005 Patrick Purdon
2000-2005 Uri Eden
2002-2006 Cecilia Behn
2004-2006 Lakshminarayan Srinivasan
2001-2007 Sujith Vijayan
2002-2007 Michelle McCarthy
2005-2008 Anna Dreyer
Current Ph.D. Students
2005- Dennis Dean
2006- Antonio Molins
2007- Patrick Stokes
2007- Stuart Layton
2007- Camilo Lamus
2007- Veronica Weiner
2007- Iahn Cajigas
2008- Demba Ba
2008- Deriba Olana
2008- Pavitra Krishnaswamy
2008- Maryam Modir Shanechi
Post-Doctoral Fellows
1997-1999 Ao Yuan
1998-2000 Riccardo Barbieri
1998-2000 Harry P. Luithardt
1999-2004 Anne C. Smith
2000-2003 Loren M. Frank
2000-2003 Catherine Mullaly
2001-2006 Christopher Long
2003-2004 Joao Scalon
2003-2007 Murat Okatan
2004-2007 Gabriela Czanner
2005-2006 Uri Eden
2005-2006 Todd Coleman
2007-2008 Gordon Pipa
Current Post-Doctoral Fellows
2003- Supratim Saha
2004- Robert Haslinger
2005- Simona Temereanca
2006- Srideva Sarma
2007- Zhe Chen
2008- Aylin Cimenser
2008- Kevin Wong
2008- Francisco Flores
2008- Christa Van Dort
2008- Wasim Malik
2008- David Nguyen
2009- ShiNung Ching
2009- David Putrino
2009- SangGyun Kim
2009- Eric Plourde
Research Funding
OD DP1 OD003646; PI: A Systems Neuroscience Approach to the Study of General Anesthesia. The major goal is to use a systems neuroscience paradigm to establish an interdisciplinary program to solve the mystery of general anesthesia.
NIMH R01 MH59733; PI: Statistical Analysis of Hippocampal Information Encoding. To develop statistical models to study information encoding in the rat hippocampus.
NIMH R01 MH071847; PI: Dynamic Analyses of Learning in Behavioral Experiments. The major object of this application is to develop dynamic algorithms to characterize learning from binary response data.
NIBIB R01 EB00638; co-PI: Dynamic Inverse Solutions for Multimodal Imaging. The major goal of this project is to develop a unified framework for multimodal imaging by using anatomic, biophysical and physiological information to construct meaningful state-space models.
NIMH R01 MH59733; PI: Statistical Analysis of Hippocampal Information Encoding. To develop statistical models to study information encoding in the rat hippocampus.
NIMH R01 MH071847; PI: Dynamic Analyses of Learning in Behavioral Experiments. The major object of this application is to develop dynamic algorithms to characterize learning from binary response data.
NIBIB R01 EB00638; co-PI: Dynamic Inverse Solutions for Multimodal Imaging. The major goal of this project is to develop a unified framework for multimodal imaging by using anatomic, biophysical and physiological information to construct meaningful state-space models.
Teaching
9.07 (MIT/HST) Introduction to Statistics for Brain and Cognitive Sciences.
9.073 (MIT) Statistics for Neuroscience Research
9.073 (MIT) Statistics for Neuroscience Research
Selected Publications
Yanike M, Wirth S, Smith AC, Brown EN, Suzuki WA. Comparison of associative learning-related signals in the macaque perirhinal cortex and hippocampus.
Cereb Cortex. 2009 May;19(5):1064-78. Epub 2008 Oct 20. [PMID: 18936274]
Chen Z, Vijayan S, Barbieri R, Wilson MA, Brown EN. Discrete- and continuous-time probabilistic models and algorithms for inferring neuronal UP and DOWN states.
Neural Comput. 2009 Jul;21(7):1797-862. [PMID: 19323637]
Purdon PL, Pierce ET, Bonmassar G, Walsh J, Harrell PG, Kwo J, Deschler D, Barlow M, Merhar RC, Lamus C, Mullaly CM, Sullivan M, Maginnis S, Skoniecki D, Higgins HA, Brown EN. Simultaneous electroencephalography and functional magnetic resonance imaging of general anesthesia.
Ann N Y Acad Sci. 2009 Mar;1157:61-70. [PMID: 19351356]
Nguyen DP, Kloosterman F, Barbieri R, Brown EN, Wilson MA. Characterizing the dynamic frequency structure of fast oscillations in the rodent hippocampus.
Front Integr Neurosci. 2009;3:11. Epub 2009 Jun 10. [PMID: 19562084]
Scholz J, Triantafyllou C, Whitfield-Gabrieli S, Brown EN, Saxe R. Distinct regions of right temporo-parietal junction are selective for theory of mind and exogenous attention.
PLoS One. 2009;4(3):e4869. Epub 2009 Mar 17. [PMID: 19290043]
McCarthy MM, Brown EN, Kopell NK. Potential network mechanisms mediating electroencephalographic beta rhythm changes during propofol-induced paradoxical excitation. Journal of Neuroscience, 2008, Dec 10; 28(50):13488-504. [PMID: 19074022]
Temereanca S, Brown EN, Simons DJ. Rapid changes in thalamic firing synchrony during repetitive whisker stimulation.
J Neurosci. 2008 Oct 29; 28(44):11153-64. [PMID: 18971458]
Yanike M, Wirth S, Smith AC, Brown EN, Suzuki WA. Comparison of Associative Learning-Related Signals in the Macaque Perirhinal Cortex and Hippocampus.
Cereb Cortex. 2008 Oct 20. [PMID: 18936274]
Molins A, Stufflebeam SM, Brown EN, Hämäläinen MS. Quantification of the benefit from integrating MEG and EEG data in minimum l2-norm estimation.
Neuroimage. 2008 Sep 1;42(3):1069-77. Epub 2008 Jun 14. [PMID: 18602485]
Napadow V, Dhond R, Conti G, Makris N, Brown EN, Barbieri R. Brain correlates of autonomic modulation: combining heart rate variability with fMRI.
NeuroImage. 2008 Aug 1;42(1):169-77. [PMID: 18524629]
Barbieri R, Brown EN. Application of dynamic point process models to cardiovascular control. Biosystems. 2008 Jul-Aug; 93(1-2):120-5. [PMID: 18515000]
Prerau MJ, Smith AC, Eden UT, Yanike M, Suzuki WA, Brown EN. A mixed filter algorithm for cognitive state estimation from simultaneously recorded continuous and binary measures of performance.
Biol Cybern. 2008 Jul; 99(1):1-14. [PMID: 18438683]
Diniz Behn CG, Kopell N, Brown EN, Mochizuki T, Scammell TE. Delayed orexin signaling consolidates wakefulness and sleep: physiology and modeling.
J Neurophysiol. 2008 Jun; 99(6):3090-103. [PMID: 18417630]
Czanner G, Eden UT, Wirth S, Yanike M, Suzuki WA, Brown EN. Analysis of between-trial and within-trial neural spiking dynamics.
J Neurophysiol. 2008 May;99(5):2672-93. [PMID: 18216233]
Barbieri R, Chen Z, Brown EN. Assessment of hippocampal and autonomic neural activity by point process models.
Conf Proc IEEE Eng Med Biol Soc. 2008;2008:3679. [PMID: 19163509]
Nguyen DP, Barbieri R, Wilson MA, Brown EN. Instantaneous frequency and amplitude modulation of EEG in the hippocampus reveals state dependent temporal structure.
Conf Proc IEEE Eng Med Biol Soc. 2008; 2008:1711-5. [PMID: 19163009]
Zhang Q, Brown EN, Strangman GE. Adaptive filtering to reduce global interference in evoked brain activity detection: a human subject case study.
J Biomed Opt. 2007 Nov-Dec;12(6):064009. [PMID: 18163825]
Srinivasan L, Eden UT, Mitter SK, Brown EN. General-purpose filter design for neural prosthetic devices.
J Neurophysiol. 2007 Oct;98(4):2456-75. Epub 2007 May 23. [PMID: 17522167]
Zhang Q, Brown EN, Strangman GE. Adaptive filtering for global interference cancellation and real-time recovery of evoked brain activity: a Monte Carlo simulation study.
J Biomed Opt. 2007 Jul-Aug;12(4):044014. [PMID: 17867818]
Behn CG, Brown EN, Scammell TE, Kopell NJ. Mathematical model of network dynamics governing mouse sleep-wake behavior.
J Neurophysiol. 2007 Jun;97(6):3828-40. Epub 2007 Apr 4. [PMID: 17409167]
Ergun A, Barbieri R, Eden UT, Wilson MA, Brown EN. Construction of point process adaptive filter algorithms for neural systems using sequential Monte Carlo methods.
IEEE Transactions on Biomedical Engineering, 2007 Mar; 54(3):419-28. [PMID: 17355053]
Smith AC, Wirth S, Suzuki WA, Brown EN. Bayesian analysis of interleaved learning and response bias in behavioral experiments.
J Neurophysiol. 2007 Mar;97(3):2516-24. Epub 2006 Dec 20. [PMID: 17182907]
Karameh FN, Dahleh MA, Brown EN, Massaquoi SG. Modeling the contribution of lamina 5 neuronal and network dynamics to low frequency EEG phenomena.
Biol Cybern. 2006 Oct;95(4):289-310. Epub 2006 Aug 8. [PMID: 16897093]
Indic P, Brown EN. Characterizing the amplitude dynamics of the human core-temperature circadian rhythm using a stochastic-dynamic model.
J Theor Biol. 2006 Apr 21;239(4):499-506. Epub 2005 Oct 11. [PMID: 16223510]
Srinivasan L, Eden UT, Willsky AS, Brown EN. A state-space analysis for reconstruction of goal-directed movements using neural signals.
Neural Computation, 2006 Oct; 18(10):2465-94. [PMID: 16907633]
Lee WC, Huang H, Feng G, Sanes JR, Brown EN, So PT, Nedivi E. Dynamic remodeling of dendritic arbors in GABAergic interneurons of adult visual cortex.
PLoS Biol. 2006 Feb;4(2):e29. Epub 2005 Dec 27. Erratum in: PLoS Biol. 2006 May;4(5):e126. [PMID: 16366735]
Long CJ, Purdon RL, Temereanca S, Desai NU, Hämäläinen M, Brown EN. Large scale Kalman filtering solutions to the electrophysiological source localization problem--a MEG case study. Conf Proc IEEE Eng Med Biol Soc. 2006;1:4532-5. PubMed PMID: 17947095]
Barbieri R, Brown EN. Correction of erroneous and ectopic beats using a point process adaptive algorithm.
Conf Proc IEEE Eng Med Biol Soc. 2006;1:3373-6. [PMID: 17945770]
Barbieri R, Brown EN. Analysis of heart beat dynamics by point process adaptive filtering.
IEEE Transactions on Biomedical Engineering, 2006, 53(1): 4-12. [PMID: 16402597]
Okatan M, Wilson MA, Brown EN. Analyzing functional connectivity using a network likelihood model of ensemble neural spiking activity.
Neural Computation, 2005, 9:1927-61. [PMID: 15992486]
Barbieri R, Matten EC, Alabi, A. Brown EN. A point process model of human heart beat intervals: new definitions of heart rate and heart rate variability.
American Journal of Physiology: Heart and Circulatory Physiology (published on line Sept. 16, 2004), 2005, 288:H424-H435. [PMID: 15374824]
Truccolo W, Eden UT, Fellow M, Donoghue JD, Brown EN. A point process framework for relating neural spiking activity to spiking history, neural ensemble and covariate effects.
Journal of Neurophysiology, 2005, 93:1074-1089. [PMID: 15356183]
Frank LM, Stanley GB, Brown EN. Hippocampal plasticity across multiple days of exposure to novel environments.
Journal of Neuroscience, 2004, 24 (35):7681-89. [PMID: 15342735]
Smith AC, Frank LM, Wirth S, Yanike M, Hu D, Kubota Y, Graybiel AM, Suzuki WA, Brown EN. Dynamic analysis of learning in behavioral experiments.
Journal of Neuroscience, 2004, 24(2): 447-461. [PMID: 14724243]
Brown EN, Mitra PP, Kass RE. Multiple neural spike train data analysis: state-of-the-art and future challenges.
Nature Neuroscience, 2004; 7(5): 456-61. [PMID: 15114358]
Eden UT, Frank LM, Barbieri R, Solo V, Brown EN, Dynamic analyses of neural encoding by point process adaptive filtering.
Neural Computation, 2004, 16(5): 971-998. [PMID: 15070506]
Barbieri R, Frank LM, Nguyen DP, Quirk MC, Solo V, Wilson MA, Brown EN. Dynamic analyses of information encoding by neural ensembles.
Neural Computation, 2004, 16 (2): 277-307. [PMID: 15006097]
Klerman EB, Adler GK, Jin M, Maliszewski AM, Brown EN. A statistical model of diurnal variation in human growth hormone.
American Journal of Physiology, 2003, E1118-26. [PMID: 12888486]
Wirth S, Yanike M. Frank LM, Smith AC, Brown EN, Suzuki WA. Single neurons in the monkey hippocampus and learning of new associations.
Science, 2003, 300: 1578-81. [PMID: 12791995]
Smith AC, Brown EN. Estimating a state-space model from point process observations.
Neural Computation, 2003, 15: 965-91. [PMID: 12803953]
Frank LM, Eden UT, Solo V, Wilson MA, Brown EN. Contrasting patterns of receptive field plasticity in the hippocampus and the entorhinal cortex: an adaptive filtering approach.
Journal of Neuroscience, 2002, 22:3817-30. [PMID: 11978857]
Brown EN, Barbieri R, Ventura V, Kass RE, Frank LM. The time-rescaling theorem and its application to neural spike train data analysis.
Neural Computation, 2002, 14(2):325-46. [PMID: 11802915]
Brown EN, Nguyen DP, Frank LM, Wilson MA, Solo V. An analysis of neural receptive field plasticity by point process adaptive filtering.
Proceedings of the National Academy of Sciences, 2001, 98:12261-66. [PMID: 11593043]
Brown EN, Meehan PM, Dempster AP. A stochastic differential equation model of diurnal cortisol patterns.
American Journal of Physiology (Endocrinology and Metabolism), 2001, 280:E450-61. [PMID: 11171600]
Purdon PL, Solo V, Weisskoff RM, Brown EN. Locally regularized spatio-temporal modeling and model comparison for functional MRI.
NeuroImage, 2001. Oct;14(4):912-23. [PMID: 11554810]
Brown EN, Choe Y, Luithardt H, Czeisler CA. A statistical model of the human core-temperature circadian rhythm.
American Journal of Physiology, 2000, 279:E669-E83. [PMID: 10950837]
Czeisler CA, Duffy JF, Shanahan TL, Brown EN, Mitchell JF, Rimmer DW, Ronda JM, Silva E, Allan JS, Emens JS, Dijk DJ, Kronauer RE. Age-independent stability, precision, and near 24 hour period of the human circadian pacemaker.
Science, 1999, 284:2177-81. [PMID: 11536927]
Brown EN, Frank LM, Tang D, Quirk MC, Wilson MA. A statistical paradigm for neural spike train decoding applied to position prediction from ensemble firing patterns of rat hippocampal place cells.
Journal of Neuroscience, 1998, 18:7411-25. [PMID: 9736661]
Brown EN, Choe Y, Shanahan TL, Czeisler CA. A mathematical model of diurnal variation in plasma melatonin levels.
American Journal of Physiology, (Endocrinology and Metabolism 35) 1997, 272:E506-E16. [PMID: 9124558]
Reviews
Frank LM, Brown EN, Stanley GB. Hippocampal and cortical place cell plasticity: implications for episodic memory.
Hippocampus. 2006;16(9):775-84. Review. [PMID: 16921502]
Cereb Cortex. 2009 May;19(5):1064-78. Epub 2008 Oct 20. [PMID: 18936274]
Chen Z, Vijayan S, Barbieri R, Wilson MA, Brown EN. Discrete- and continuous-time probabilistic models and algorithms for inferring neuronal UP and DOWN states.
Neural Comput. 2009 Jul;21(7):1797-862. [PMID: 19323637]
Purdon PL, Pierce ET, Bonmassar G, Walsh J, Harrell PG, Kwo J, Deschler D, Barlow M, Merhar RC, Lamus C, Mullaly CM, Sullivan M, Maginnis S, Skoniecki D, Higgins HA, Brown EN. Simultaneous electroencephalography and functional magnetic resonance imaging of general anesthesia.
Ann N Y Acad Sci. 2009 Mar;1157:61-70. [PMID: 19351356]
Nguyen DP, Kloosterman F, Barbieri R, Brown EN, Wilson MA. Characterizing the dynamic frequency structure of fast oscillations in the rodent hippocampus.
Front Integr Neurosci. 2009;3:11. Epub 2009 Jun 10. [PMID: 19562084]
Scholz J, Triantafyllou C, Whitfield-Gabrieli S, Brown EN, Saxe R. Distinct regions of right temporo-parietal junction are selective for theory of mind and exogenous attention.
PLoS One. 2009;4(3):e4869. Epub 2009 Mar 17. [PMID: 19290043]
McCarthy MM, Brown EN, Kopell NK. Potential network mechanisms mediating electroencephalographic beta rhythm changes during propofol-induced paradoxical excitation. Journal of Neuroscience, 2008, Dec 10; 28(50):13488-504. [PMID: 19074022]
Temereanca S, Brown EN, Simons DJ. Rapid changes in thalamic firing synchrony during repetitive whisker stimulation.
J Neurosci. 2008 Oct 29; 28(44):11153-64. [PMID: 18971458]
Yanike M, Wirth S, Smith AC, Brown EN, Suzuki WA. Comparison of Associative Learning-Related Signals in the Macaque Perirhinal Cortex and Hippocampus.
Cereb Cortex. 2008 Oct 20. [PMID: 18936274]
Molins A, Stufflebeam SM, Brown EN, Hämäläinen MS. Quantification of the benefit from integrating MEG and EEG data in minimum l2-norm estimation.
Neuroimage. 2008 Sep 1;42(3):1069-77. Epub 2008 Jun 14. [PMID: 18602485]
Napadow V, Dhond R, Conti G, Makris N, Brown EN, Barbieri R. Brain correlates of autonomic modulation: combining heart rate variability with fMRI.
NeuroImage. 2008 Aug 1;42(1):169-77. [PMID: 18524629]
Barbieri R, Brown EN. Application of dynamic point process models to cardiovascular control. Biosystems. 2008 Jul-Aug; 93(1-2):120-5. [PMID: 18515000]
Prerau MJ, Smith AC, Eden UT, Yanike M, Suzuki WA, Brown EN. A mixed filter algorithm for cognitive state estimation from simultaneously recorded continuous and binary measures of performance.
Biol Cybern. 2008 Jul; 99(1):1-14. [PMID: 18438683]
Diniz Behn CG, Kopell N, Brown EN, Mochizuki T, Scammell TE. Delayed orexin signaling consolidates wakefulness and sleep: physiology and modeling.
J Neurophysiol. 2008 Jun; 99(6):3090-103. [PMID: 18417630]
Czanner G, Eden UT, Wirth S, Yanike M, Suzuki WA, Brown EN. Analysis of between-trial and within-trial neural spiking dynamics.
J Neurophysiol. 2008 May;99(5):2672-93. [PMID: 18216233]
Barbieri R, Chen Z, Brown EN. Assessment of hippocampal and autonomic neural activity by point process models.
Conf Proc IEEE Eng Med Biol Soc. 2008;2008:3679. [PMID: 19163509]
Nguyen DP, Barbieri R, Wilson MA, Brown EN. Instantaneous frequency and amplitude modulation of EEG in the hippocampus reveals state dependent temporal structure.
Conf Proc IEEE Eng Med Biol Soc. 2008; 2008:1711-5. [PMID: 19163009]
Zhang Q, Brown EN, Strangman GE. Adaptive filtering to reduce global interference in evoked brain activity detection: a human subject case study.
J Biomed Opt. 2007 Nov-Dec;12(6):064009. [PMID: 18163825]
Srinivasan L, Eden UT, Mitter SK, Brown EN. General-purpose filter design for neural prosthetic devices.
J Neurophysiol. 2007 Oct;98(4):2456-75. Epub 2007 May 23. [PMID: 17522167]
Zhang Q, Brown EN, Strangman GE. Adaptive filtering for global interference cancellation and real-time recovery of evoked brain activity: a Monte Carlo simulation study.
J Biomed Opt. 2007 Jul-Aug;12(4):044014. [PMID: 17867818]
Behn CG, Brown EN, Scammell TE, Kopell NJ. Mathematical model of network dynamics governing mouse sleep-wake behavior.
J Neurophysiol. 2007 Jun;97(6):3828-40. Epub 2007 Apr 4. [PMID: 17409167]
Ergun A, Barbieri R, Eden UT, Wilson MA, Brown EN. Construction of point process adaptive filter algorithms for neural systems using sequential Monte Carlo methods.
IEEE Transactions on Biomedical Engineering, 2007 Mar; 54(3):419-28. [PMID: 17355053]
Smith AC, Wirth S, Suzuki WA, Brown EN. Bayesian analysis of interleaved learning and response bias in behavioral experiments.
J Neurophysiol. 2007 Mar;97(3):2516-24. Epub 2006 Dec 20. [PMID: 17182907]
Karameh FN, Dahleh MA, Brown EN, Massaquoi SG. Modeling the contribution of lamina 5 neuronal and network dynamics to low frequency EEG phenomena.
Biol Cybern. 2006 Oct;95(4):289-310. Epub 2006 Aug 8. [PMID: 16897093]
Indic P, Brown EN. Characterizing the amplitude dynamics of the human core-temperature circadian rhythm using a stochastic-dynamic model.
J Theor Biol. 2006 Apr 21;239(4):499-506. Epub 2005 Oct 11. [PMID: 16223510]
Srinivasan L, Eden UT, Willsky AS, Brown EN. A state-space analysis for reconstruction of goal-directed movements using neural signals.
Neural Computation, 2006 Oct; 18(10):2465-94. [PMID: 16907633]
Lee WC, Huang H, Feng G, Sanes JR, Brown EN, So PT, Nedivi E. Dynamic remodeling of dendritic arbors in GABAergic interneurons of adult visual cortex.
PLoS Biol. 2006 Feb;4(2):e29. Epub 2005 Dec 27. Erratum in: PLoS Biol. 2006 May;4(5):e126. [PMID: 16366735]
Long CJ, Purdon RL, Temereanca S, Desai NU, Hämäläinen M, Brown EN. Large scale Kalman filtering solutions to the electrophysiological source localization problem--a MEG case study. Conf Proc IEEE Eng Med Biol Soc. 2006;1:4532-5. PubMed PMID: 17947095]
Barbieri R, Brown EN. Correction of erroneous and ectopic beats using a point process adaptive algorithm.
Conf Proc IEEE Eng Med Biol Soc. 2006;1:3373-6. [PMID: 17945770]
Barbieri R, Brown EN. Analysis of heart beat dynamics by point process adaptive filtering.
IEEE Transactions on Biomedical Engineering, 2006, 53(1): 4-12. [PMID: 16402597]
Okatan M, Wilson MA, Brown EN. Analyzing functional connectivity using a network likelihood model of ensemble neural spiking activity.
Neural Computation, 2005, 9:1927-61. [PMID: 15992486]
Barbieri R, Matten EC, Alabi, A. Brown EN. A point process model of human heart beat intervals: new definitions of heart rate and heart rate variability.
American Journal of Physiology: Heart and Circulatory Physiology (published on line Sept. 16, 2004), 2005, 288:H424-H435. [PMID: 15374824]
Truccolo W, Eden UT, Fellow M, Donoghue JD, Brown EN. A point process framework for relating neural spiking activity to spiking history, neural ensemble and covariate effects.
Journal of Neurophysiology, 2005, 93:1074-1089. [PMID: 15356183]
Frank LM, Stanley GB, Brown EN. Hippocampal plasticity across multiple days of exposure to novel environments.
Journal of Neuroscience, 2004, 24 (35):7681-89. [PMID: 15342735]
Smith AC, Frank LM, Wirth S, Yanike M, Hu D, Kubota Y, Graybiel AM, Suzuki WA, Brown EN. Dynamic analysis of learning in behavioral experiments.
Journal of Neuroscience, 2004, 24(2): 447-461. [PMID: 14724243]
Brown EN, Mitra PP, Kass RE. Multiple neural spike train data analysis: state-of-the-art and future challenges.
Nature Neuroscience, 2004; 7(5): 456-61. [PMID: 15114358]
Eden UT, Frank LM, Barbieri R, Solo V, Brown EN, Dynamic analyses of neural encoding by point process adaptive filtering.
Neural Computation, 2004, 16(5): 971-998. [PMID: 15070506]
Barbieri R, Frank LM, Nguyen DP, Quirk MC, Solo V, Wilson MA, Brown EN. Dynamic analyses of information encoding by neural ensembles.
Neural Computation, 2004, 16 (2): 277-307. [PMID: 15006097]
Klerman EB, Adler GK, Jin M, Maliszewski AM, Brown EN. A statistical model of diurnal variation in human growth hormone.
American Journal of Physiology, 2003, E1118-26. [PMID: 12888486]
Wirth S, Yanike M. Frank LM, Smith AC, Brown EN, Suzuki WA. Single neurons in the monkey hippocampus and learning of new associations.
Science, 2003, 300: 1578-81. [PMID: 12791995]
Smith AC, Brown EN. Estimating a state-space model from point process observations.
Neural Computation, 2003, 15: 965-91. [PMID: 12803953]
Frank LM, Eden UT, Solo V, Wilson MA, Brown EN. Contrasting patterns of receptive field plasticity in the hippocampus and the entorhinal cortex: an adaptive filtering approach.
Journal of Neuroscience, 2002, 22:3817-30. [PMID: 11978857]
Brown EN, Barbieri R, Ventura V, Kass RE, Frank LM. The time-rescaling theorem and its application to neural spike train data analysis.
Neural Computation, 2002, 14(2):325-46. [PMID: 11802915]
Brown EN, Nguyen DP, Frank LM, Wilson MA, Solo V. An analysis of neural receptive field plasticity by point process adaptive filtering.
Proceedings of the National Academy of Sciences, 2001, 98:12261-66. [PMID: 11593043]
Brown EN, Meehan PM, Dempster AP. A stochastic differential equation model of diurnal cortisol patterns.
American Journal of Physiology (Endocrinology and Metabolism), 2001, 280:E450-61. [PMID: 11171600]
Purdon PL, Solo V, Weisskoff RM, Brown EN. Locally regularized spatio-temporal modeling and model comparison for functional MRI.
NeuroImage, 2001. Oct;14(4):912-23. [PMID: 11554810]
Brown EN, Choe Y, Luithardt H, Czeisler CA. A statistical model of the human core-temperature circadian rhythm.
American Journal of Physiology, 2000, 279:E669-E83. [PMID: 10950837]
Czeisler CA, Duffy JF, Shanahan TL, Brown EN, Mitchell JF, Rimmer DW, Ronda JM, Silva E, Allan JS, Emens JS, Dijk DJ, Kronauer RE. Age-independent stability, precision, and near 24 hour period of the human circadian pacemaker.
Science, 1999, 284:2177-81. [PMID: 11536927]
Brown EN, Frank LM, Tang D, Quirk MC, Wilson MA. A statistical paradigm for neural spike train decoding applied to position prediction from ensemble firing patterns of rat hippocampal place cells.
Journal of Neuroscience, 1998, 18:7411-25. [PMID: 9736661]
Brown EN, Choe Y, Shanahan TL, Czeisler CA. A mathematical model of diurnal variation in plasma melatonin levels.
American Journal of Physiology, (Endocrinology and Metabolism 35) 1997, 272:E506-E16. [PMID: 9124558]
Reviews
Frank LM, Brown EN, Stanley GB. Hippocampal and cortical place cell plasticity: implications for episodic memory.
Hippocampus. 2006;16(9):775-84. Review. [PMID: 16921502]
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