EMERY NEAL BROWN

Summary

Affiliation: Harvard University
Country: USA

Publications

  1. pmc An analysis of neural receptive field plasticity by point process adaptive filtering
    E N Brown
    Neuroscience Statistics Research Laboratory, Department of Anesthesia and Critical Care, Massachusetts General Hospital, Boston, MA 02114, USA
    Proc Natl Acad Sci U S A 98:12261-6. 2001
  2. ncbi Multiple neural spike train data analysis: state-of-the-art and future challenges
    Emery N Brown
    Neuroscience Statistics Research Laboratory, Department of Anesthesia and Critical Care, Massachusetts General Hospital, and Division of Health Sciences and Technology, Harvard Medical School, Boston, 02114, USA
    Nat Neurosci 7:456-61. 2004
  3. pmc Assessment of hippocampal and autonomic neural activity by point process models
    Riccardo Barbieri
    Neuroscience Statistics Research Laboratory, Dept of Anesthesia and Critical Care, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
    Conf Proc IEEE Eng Med Biol Soc 2008:3679. 2008
  4. ncbi General-purpose filter design for neural prosthetic devices
    Lakshminarayan Srinivasan
    Center for Nervous System Repair, Department of Neurosurgery, Massachusetts General Hospital, Boston, MA 02114, USA
    J Neurophysiol 98:2456-75. 2007
  5. pmc Characterizing nonlinear heartbeat dynamics within a point process framework
    Zhe Chen
    Neuroscience Statistics Research Laboratory, Harvard Medical School, Massachusetts General Hospital, Boston, MA 02114, USA
    IEEE Trans Biomed Eng 57:1335-47. 2010
  6. ncbi An application of reversible-jump Markov chain Monte Carlo to spike classification of multi-unit extracellular recordings
    David P Nguyen
    Neuroscience Statistics Research Laboratory, Department of Anesthesia, Massachusetts General Hospital, Division of Health Sciences, Harvard Medical School Massachusetts Institute of Technology, Boston, MA 02114, USA
    Network 14:61-82. 2003
  7. pmc Discrete- and continuous-time probabilistic models and algorithms for inferring neuronal UP and DOWN states
    Zhe Chen
    Neuroscience Statistics Research Laboratory, Department of Anesthesia and Critical Care, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
    Neural Comput 21:1797-862. 2009
  8. pmc Analysis of between-trial and within-trial neural spiking dynamics
    Gabriela Czanner
    Neuroscience Statistics Research Laboratory, Department of Anesthesia and Critical Care, Massachusetts General Hospital, Boston, MA, USA
    J Neurophysiol 99:2672-93. 2008
  9. pmc Linear and nonlinear quantification of respiratory sinus arrhythmia during propofol general anesthesia
    Zhe Chen
    Neuroscience Statistics Research Laboratory, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
    Conf Proc IEEE Eng Med Biol Soc 2009:5336-9. 2009
  10. ncbi Hippocampal plasticity across multiple days of exposure to novel environments
    Loren M Frank
    Neuroscience Statistics Research Laboratory, Department of Anesthesia and Critical Care, Massachusetts General Hospital, Boston, Massachusetts 02114, USA
    J Neurosci 24:7681-9. 2004

Research Grants

Collaborators

Detail Information

Publications43

  1. pmc An analysis of neural receptive field plasticity by point process adaptive filtering
    E N Brown
    Neuroscience Statistics Research Laboratory, Department of Anesthesia and Critical Care, Massachusetts General Hospital, Boston, MA 02114, USA
    Proc Natl Acad Sci U S A 98:12261-6. 2001
    ..Point process adaptive filtering offers an analytic method for studying the dynamics of neural receptive fields...
  2. ncbi Multiple neural spike train data analysis: state-of-the-art and future challenges
    Emery N Brown
    Neuroscience Statistics Research Laboratory, Department of Anesthesia and Critical Care, Massachusetts General Hospital, and Division of Health Sciences and Technology, Harvard Medical School, Boston, 02114, USA
    Nat Neurosci 7:456-61. 2004
    ..Here we review statistical methods for the analysis of multiple neural spike-train data and discuss future challenges for methodology research...
  3. pmc Assessment of hippocampal and autonomic neural activity by point process models
    Riccardo Barbieri
    Neuroscience Statistics Research Laboratory, Dept of Anesthesia and Critical Care, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
    Conf Proc IEEE Eng Med Biol Soc 2008:3679. 2008
    ..The first studies how hippocampal neural activity represents and transmits information, whereas the second is aimed at characterizing activity of the central autonomic network as involved in cardiovascular control...
  4. ncbi General-purpose filter design for neural prosthetic devices
    Lakshminarayan Srinivasan
    Center for Nervous System Repair, Department of Neurosurgery, Massachusetts General Hospital, Boston, MA 02114, USA
    J Neurophysiol 98:2456-75. 2007
    ..These simulated results predict that the unified framework outperforms previous approaches under various conditions, in the control of position and velocity, based on trajectory and endpoint mean squared errors...
  5. pmc Characterizing nonlinear heartbeat dynamics within a point process framework
    Zhe Chen
    Neuroscience Statistics Research Laboratory, Harvard Medical School, Massachusetts General Hospital, Boston, MA 02114, USA
    IEEE Trans Biomed Eng 57:1335-47. 2010
    ..In comparison to other nonlinear modeling approaches, the point process probability model is useful in revealing nonlinear heartbeat dynamics at a fine timescale and with only short duration recordings...
  6. ncbi An application of reversible-jump Markov chain Monte Carlo to spike classification of multi-unit extracellular recordings
    David P Nguyen
    Neuroscience Statistics Research Laboratory, Department of Anesthesia, Massachusetts General Hospital, Division of Health Sciences, Harvard Medical School Massachusetts Institute of Technology, Boston, MA 02114, USA
    Network 14:61-82. 2003
    ..Our findings suggest that a reversible-jump MCMC algorithm could offer a new strategy for designing automated spike-sorting algorithms...
  7. pmc Discrete- and continuous-time probabilistic models and algorithms for inferring neuronal UP and DOWN states
    Zhe Chen
    Neuroscience Statistics Research Laboratory, Department of Anesthesia and Critical Care, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
    Neural Comput 21:1797-862. 2009
    ..Our approach provides a statistical characterization of UP-DOWN state dynamics that can serve as a basis for verifying and refining mechanistic descriptions of this process...
  8. pmc Analysis of between-trial and within-trial neural spiking dynamics
    Gabriela Czanner
    Neuroscience Statistics Research Laboratory, Department of Anesthesia and Critical Care, Massachusetts General Hospital, Boston, MA, USA
    J Neurophysiol 99:2672-93. 2008
    ....
  9. pmc Linear and nonlinear quantification of respiratory sinus arrhythmia during propofol general anesthesia
    Zhe Chen
    Neuroscience Statistics Research Laboratory, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
    Conf Proc IEEE Eng Med Biol Soc 2009:5336-9. 2009
    ..Our proposed statistical indices provide a valuable quantitative assessment of instantaneous cardiorespiratory control and heart rate variability (HRV) during general anesthesia...
  10. ncbi Hippocampal plasticity across multiple days of exposure to novel environments
    Loren M Frank
    Neuroscience Statistics Research Laboratory, Department of Anesthesia and Critical Care, Massachusetts General Hospital, Boston, Massachusetts 02114, USA
    J Neurosci 24:7681-9. 2004
    ..These results show that the hippocampus can form new spatial representations quickly but that stable hippocampal representations are not sufficient for a place to be treated as familiar...
  11. pmc Potential network mechanisms mediating electroencephalographic beta rhythm changes during propofol-induced paradoxical excitation
    Michelle M McCarthy
    Department of Mathematics and Statistics, Boston University, Boston, Massachusetts 02215, USA
    J Neurosci 28:13488-504. 2008
    ..As correlates of behavioral phenomenology, these networks may refine our understanding of the specific behavioral states associated with general anesthesia...
  12. doi Adaptive filtering to reduce global interference in evoked brain activity detection: a human subject case study
    Quan Zhang
    Massachusetts General Hospital, Harvard Medical School, Neural Systems Group, 13th Street, Building 149, Room 2651, Charlestown, Massachusetts 02129, USA
    J Biomed Opt 12:064009. 2007
    ..In addition, the results suggested that association between the superficial layer hemodynamics and the total global interference is time-varying...
  13. ncbi Correction of erroneous and ectopic beats using a point process adaptive algorithm
    Riccardo Barbieri
    Dept of Anesthesia and Critical Care, Massachusetts Gen Hosp, Boston, MA 02114 2696, USA
    Conf Proc IEEE Eng Med Biol Soc 1:3373-6. 2006
    ..Results demonstrate the efficacy of the method, and show new heart rate and heart rate variability dynamics corrected for artifacts introduced by incorrect and/or irregular R-R intervals...
  14. ncbi Adaptive filtering for global interference cancellation and real-time recovery of evoked brain activity: a Monte Carlo simulation study
    Quan Zhang
    Harvard Medical School, Massachusetts General Hospital, Neural Systems Group, 13th Street, Building 149, Room 2651, Charlestown, Massachusetts 02129, USA
    J Biomed Opt 12:044014. 2007
    ..The technique can be performed in real time, an important feature required for applications such as brain activity localization, biofeedback, and potential neuroprosthetic devices...
  15. pmc Application of dynamic point process models to cardiovascular control
    Riccardo Barbieri
    Department of Anesthesia and Critical Care, Massachusetts General Hospital, Harvard Medical School, Jackson 4, 55 Fruit Street, Boston, MA 02114, USA
    Biosystems 93:120-5. 2008
    ....
  16. pmc Brain correlates of autonomic modulation: combining heart rate variability with fMRI
    Vitaly Napadow
    MGH MIT HMS Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA 02119, USA
    Neuroimage 42:169-77. 2008
    ..Our approach should be optimized and applied to study the human brain correlates of autonomic modulation for various stimuli in both physiological and pathological states...
  17. pmc Rapid changes in thalamic firing synchrony during repetitive whisker stimulation
    Simona Temereanca
    Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15261, USA
    J Neurosci 28:11153-64. 2008
    ....
  18. pmc Characterizing nonlinear heartbeat dynamics within a point process framework
    Zhe Chen
    Neuroscience Statistics Research Laboratory, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
    Conf Proc IEEE Eng Med Biol Soc 2008:2781-4. 2008
    ..The proposed probabilistic model was examined with two recorded heartbeat interval data sets. Preliminary results show that our model is beneficial to characterize the inherent nonlinearity of the heartbeat dynamics...
  19. pmc Assessment of autonomic control and respiratory sinus arrhythmia using point process models of human heart beat dynamics
    Zhe Chen
    Neuroscience Statistics Research Laboratory, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
    IEEE Trans Biomed Eng 56:1791-802. 2009
    ..Our paradigm suggests a possible framework for designing a device for ambulatory monitoring and assessment of autonomic control in both laboratory research and clinical practice...
  20. pmc Heterogeneous neuronal firing patterns during interictal epileptiform discharges in the human cortex
    Corey J Keller
    Department of Neurology, 30 Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA
    Brain 133:1668-81. 2010
    ....
  21. doi Differential involvement of excitatory and inhibitory neurons of cat motor cortex in coincident spike activity related to behavioral context
    David Putrino
    Department of Anesthesia and Critical Care, Massachusetts General Hospital, Boston, Massachusetts 02114, USA
    J Neurosci 30:8048-56. 2010
    ..Different populations of excitatory and inhibitory neurons appear to be synchronized during skilled movement and quiet sitting...
  22. pmc Mathematical model of network dynamics governing mouse sleep-wake behavior
    Cecilia G Diniz Behn
    Department of Mathematics and Center for BioDynamics, Boston University, MA, USA
    J Neurophysiol 97:3828-40. 2007
    ..Because circadian and other factors alter the fine architecture of sleep-wake behavior, this model provides a novel framework to explore dynamical principles that may underlie normal and pathologic sleep-wake physiology...
  23. ncbi Construction of point process adaptive filter algorithms for neural systems using sequential Monte Carlo methods
    Ayla Ergun
    Neuroscience Statistics Research Laboratory, Department of Anesthesia and Critical Care, Massachusetts General Hospital, Boston, MA 02114 2698, USA
    IEEE Trans Biomed Eng 54:419-28. 2007
    ..Our results suggest an approach for constructing point process adaptive filters using SMC methods...
  24. ncbi A state-space analysis for reconstruction of goal-directed movements using neural signals
    Lakshminarayan Srinivasan
    Neuroscience Statistics Research Laboratory, Department of Anesthesia and Critical Care, Massachusetts General Hospital, Charlestown, MA 02129, USA
    Neural Comput 18:2465-94. 2006
    ..The corresponding reconstruction procedure may also be useful in brain-driven prosthetic devices to generate control signals for goal-directed movements...
  25. ncbi Contrasting patterns of receptive field plasticity in the hippocampus and the entorhinal cortex: an adaptive filtering approach
    Loren M Frank
    Neuroscience Statistics Research Laboratory, Department of Anesthesia and Critical Care, Massachusetts General Hospital and Harvard University Massachusetts Institute of Technology, Boston, Massachusetts 02114, USA
    J Neurosci 22:3817-30. 2002
    ..We hypothesize that this subset of deep EC neurons may receive more direct input from CA1 and may be part of a neural circuit that transmits information about the animal's location to the neocortex...
  26. ncbi Motion and ballistocardiogram artifact removal for interleaved recording of EEG and EPs during MRI
    Giorgio Bonmassar
    NMR Center, Massachusetts General Hospital, Harvard Medical School, Charlestown, Massachusetts 02129, USA
    Neuroimage 16:1127-41. 2002
    ..Our adaptive filter approach can be implemented in real-time to allow for continuous monitoring of EEG and fMRI during clinical and cognitive studies...
  27. pmc Simultaneous electroencephalography and functional magnetic resonance imaging of general anesthesia
    Patrick L Purdon
    Department of Anesthesia and Critical Care, Massachusetts General Hospital, Boston, Massachusetts 02114, USA
    Ann N Y Acad Sci 1157:61-70. 2009
    ....
  28. ncbi A statistical model of diurnal variation in human growth hormone
    Elizabeth B Klerman
    Division of Sleep Medicine, Department of Medicine, Brigham and Women s Hospital, Harvard Medical School, 221 Longwood Ave, Boston, MA 02115, USA
    Am J Physiol Endocrinol Metab 285:E1118-26. 2003
    ..Our analysis paradigm suggests an approach to decomposing GH diurnal patterns that can be used to characterize the physiological properties of this hormone under normal and pathological conditions...
  29. ncbi Persistent activity and memory in the entorhinal cortex
    Loren M Frank
    Neuroscience Statistics Research Laboratory, Department of Anesthesia and Critical Care, Massachusetts General Hospital, Boston, MA 02114, USA
    Trends Neurosci 26:400-1. 2003
    ..These findings suggest that layer-5 EC neurons could play a central role in the formation of associations among stimuli that occur at different times...
  30. ncbi Dynamic analyses of information encoding in neural ensembles
    Riccardo Barbieri
    Neuroscience Statistics Research Laboratory, Department of Anesthesia and Critical Care, Massachusetts General Hospital Harvard Medical School, Boston, MA 02114, USA
    Neural Comput 16:277-307. 2004
    ..These findings improve significantly on our previous results and suggest an integrated approach to dynamically reading neural codes, measuring their properties, and quantifying the accuracy with which encoded information is extracted...
  31. ncbi Dynamic analysis of neural encoding by point process adaptive filtering
    Uri T Eden
    Department of Anesthesia and Critical Care, Massachusetts General Hospital, Boston, and Division of Health Sciences and Technology, Harvard Medical School Massachusetts Institute of Technology, Cambridge, MA, USA
    Neural Comput 16:971-98. 2004
    ..Our results provide a paradigm for adaptive estimation for point process observations and suggest a practical approach for constructing filtering algorithms to track neural receptive field dynamics on a millisecond timescale...
  32. ncbi A point-process model of human heartbeat intervals: new definitions of heart rate and heart rate variability
    Riccardo Barbieri
    Neuroscience Statistics Research Laboratory, Department of Anesthesia and Critical Care, Massachusetts General Hospital, 55 Fruit St, Clinics 3, Boston, MA 02114 2696, USA
    Am J Physiol Heart Circ Physiol 288:H424-35. 2005
    ....
  33. ncbi Analysis of heartbeat dynamics by point process adaptive filtering
    Riccardo Barbieri
    Neuroscience Statistics Research Laboratory, Department of Anesthesia and Critical Care, Massachusetts General Hospital, Boston 02114 2696, USA
    IEEE Trans Biomed Eng 53:4-12. 2006
    ..Our results suggest a new approach for characterizing heartbeat dynamics...
  34. ncbi An analysis of hippocampal spatio-temporal representations using a Bayesian algorithm for neural spike train decoding
    Riccardo Barbieri
    Neuroscience Statistics Research Laboratory, Department of Anesthesia and Critical Care, Massachusetts General Hospital, Boston, MA 02114 2696, USA
    IEEE Trans Neural Syst Rehabil Eng 13:131-6. 2005
    ..95 confidence regions was 0.71. These results illustrate how the Bayesian neural spike train decoding paradigm may be used to investigate spatio-temporal representations of position by an ensemble of hippocampal neurons...
  35. ncbi The time-rescaling theorem and its application to neural spike train data analysis
    Emery N Brown
    Neuroscience Statistics Research Laboratory, Department of Anesthesia and Critical Care, Massachusetts General Hospital, Boston, MA 02114, USA
    Neural Comput 14:325-46. 2002
    ..Our paradigm makes it possible to compare parametric and histogram-based neural spike train models directly. These results suggest that the time-rescaling theorem can be a valuable tool for neural spike train data analysis...
  36. ncbi Analyzing functional connectivity using a network likelihood model of ensemble neural spiking activity
    Murat Okatan
    Neuroscience Statistics Research Laboratory, Department of Anesthesia and Critical Care, Massachusetts General Hospital, Boston, MA 02114 2698, USA
    Neural Comput 17:1927-61. 2005
    ..These results suggest that the network likelihood model can be an efficient tool for the analysis of ensemble spiking activity...
  37. ncbi Spatiotemporal wavelet analysis for functional MRI
    Chris Long
    MGH HMS MIT Martinos Center for Biomedical Imaging, Charlestown, MA 02129, USA
    Neuroimage 23:500-16. 2004
    ..Our spatiotemporal wavelet framework suggests a useful tool for the analysis of fMRI studies...
  38. ncbi Dynamic analysis of learning in behavioral experiments
    Anne C Smith
    Neuroscience Statistics Research Laboratory, Department of Anesthesia and Critical Care, Massachusetts General Hospital, Boston, Massachusetts 02114 2696, USA
    J Neurosci 24:447-61. 2004
    ....
  39. ncbi Estimating a state-space model from point process observations
    Anne C Smith
    Neuroscience Statistics Research Laboratory, Department of Anesthesia and Critical Care, Massachusetts General Hospital, Boston, MA 02114, U S A
    Neural Comput 15:965-91. 2003
    ..We illustrate the model with two simulated data examples: an ensemble of Poisson neurons driven by a common stimulus and a single neuron whose conditional intensity function is approximated as a local Bernoulli process...
  40. ncbi Measuring period of human biological clock: infill asymptotic analysis of harmonic regression parameter estimates
    Emery N Brown
    Department of Anesthesia and Critical Care, Division of Health Sciences and Technology, Harvard Medical School and Massachusetts Institute Technology, Boston, Massachusetts 02114, USA
    Methods Enzymol 383:382-405. 2004
  41. ncbi Analysis and design of behavioral experiments to characterize population learning
    Anne C Smith
    Neuroscience Statistics Research Laboratory, Department of Anesthesia and Critical Care, Massachusetts General Hospital, 55 Fruit Street, Clinics 3, Boston, MA 02114 2696, USA
    J Neurophysiol 93:1776-92. 2005
    ..The SSRE model offers a practical approach to dynamic analysis of population learning and a theoretical framework for optimal design of learning experiments...
  42. pmc A regularized point process generalized linear model for assessing the functional connectivity in the cat motor cortex
    Zhe Chen
    Neuroscience Statistics Research Laboratory, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
    Conf Proc IEEE Eng Med Biol Soc 2009:5006-9. 2009
    ..The point process model was applied to an ensemble of neurons recorded from the cat motor cortex during a skilled reaching task. The implications of this analysis to the coding of skilled movement in primary motor cortex is discussed...
  43. pmc Comparison of amplitude recovery dynamics of two limit cycle oscillator models of the human circadian pacemaker
    Premananda Indic
    Biomathematical Modeling Unit, Division of Sleep Medicine, Brigham and Women s Hospital Harvard Medical School, Boston, MA, USA
    Chronobiol Int 22:613-29. 2005
    ..Experiments derived from model predictions are proposed to test the influence of low amplitude recovery on the physiological and neurobehavioral functions...

Research Grants1

  1. STATISTICAL MODELING OF NEURAL INFORMATION ENCODING
    Emery Brown; Fiscal Year: 2003
    ....