Zhe Chen

Summary

Affiliation: Massachusetts Institute of Technology
Country: USA

Publications

  1. pmc An overview of Bayesian methods for neural spike train analysis
    Zhe Chen
    Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, 43 Vassar Street, Cambridge, MA 02139, USA Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
    Comput Intell Neurosci 2013:251905. 2013
  2. pmc A unified point process probabilistic framework to assess heartbeat dynamics and autonomic cardiovascular control
    Zhe Chen
    Neuroscience Statistics Research Lab, Massachusetts General Hospital, Harvard Medical School Boston, MA, USA
    Front Physiol 3:4. 2012
  3. doi request reprint Neural representation of spatial topology in the rodent hippocampus
    Zhe Chen
    Department of Brain and Cognitive Sciences and Picower Institute for Learning and Memory, MIT, Cambridge, MA 02139, U S A
    Neural Comput 26:1-39. 2014
  4. ncbi request reprint Transductive neural decoding for unsorted neuronal spikes of rat hippocampus
    Zhe Chen
    Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, USA
    Conf Proc IEEE Eng Med Biol Soc 2012:1310-3. 2012
  5. doi request reprint Uncovering spatial topology represented by rat hippocampal population neuronal codes
    Zhe Chen
    Neuroscience Statistics Research Lab, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
    J Comput Neurosci 33:227-55. 2012
  6. pmc Assessing neuronal interactions of cell assemblies during general anesthesia
    Zhe Chen
    Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, USA
    Conf Proc IEEE Eng Med Biol Soc 2011:4175-8. 2011
  7. pmc A differential autoregressive modeling approach within a point process framework for non-stationary heartbeat intervals analysis
    Zhe Chen
    Neuroscience Statistics Research Laboratory, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
    Conf Proc IEEE Eng Med Biol Soc 2010:3567-70. 2010
  8. pmc Dynamic assessment of baroreflex control of heart rate during induction of propofol anesthesia using a point process method
    Zhe Chen
    Neuroscience Statistics Research Laboratory, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
    Ann Biomed Eng 39:260-76. 2011
  9. 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
  10. 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

Detail Information

Publications25

  1. pmc An overview of Bayesian methods for neural spike train analysis
    Zhe Chen
    Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, 43 Vassar Street, Cambridge, MA 02139, USA Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
    Comput Intell Neurosci 2013:251905. 2013
    ..Some research challenges and opportunities for neural spike train analysis are discussed. ..
  2. pmc A unified point process probabilistic framework to assess heartbeat dynamics and autonomic cardiovascular control
    Zhe Chen
    Neuroscience Statistics Research Lab, Massachusetts General Hospital, Harvard Medical School Boston, MA, USA
    Front Physiol 3:4. 2012
    ..We also discuss the limitations and other alternative modeling strategies of our point process approach...
  3. doi request reprint Neural representation of spatial topology in the rodent hippocampus
    Zhe Chen
    Department of Brain and Cognitive Sciences and Picower Institute for Learning and Memory, MIT, Cambridge, MA 02139, U S A
    Neural Comput 26:1-39. 2014
    ..This computational approach allows us to quantify the variability of ensemble spiking activity, examine hippocampal population codes during off-line states, and quantify the topological complexity of the environment. ..
  4. ncbi request reprint Transductive neural decoding for unsorted neuronal spikes of rat hippocampus
    Zhe Chen
    Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, USA
    Conf Proc IEEE Eng Med Biol Soc 2012:1310-3. 2012
    ..Here, we investigate several important technical issues of this new paradigm using one data set of one animal. Several extensions of our decoding method are discussed...
  5. doi request reprint Uncovering spatial topology represented by rat hippocampal population neuronal codes
    Zhe Chen
    Neuroscience Statistics Research Lab, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
    J Comput Neurosci 33:227-55. 2012
    ..This study would also provide useful insights for future exploratory data analysis of population neuronal codes during periods of sleep...
  6. pmc Assessing neuronal interactions of cell assemblies during general anesthesia
    Zhe Chen
    Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, USA
    Conf Proc IEEE Eng Med Biol Soc 2011:4175-8. 2011
    ..Our results suggest that that neuronal interactions of both putative excitatory and inhibitory connections are reduced after the induction of isoflurane anesthesia...
  7. pmc A differential autoregressive modeling approach within a point process framework for non-stationary heartbeat intervals analysis
    Zhe Chen
    Neuroscience Statistics Research Laboratory, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
    Conf Proc IEEE Eng Med Biol Soc 2010:3567-70. 2010
    ..Results further demonstrate the ability of the method to appropriately quantify the non-stationary evolution of baroreflex sensitivity in changing physiological and pharmacological conditions...
  8. pmc Dynamic assessment of baroreflex control of heart rate during induction of propofol anesthesia using a point process method
    Zhe Chen
    Neuroscience Statistics Research Laboratory, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
    Ann Biomed Eng 39:260-76. 2011
    ....
  9. 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...
  10. 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...
  11. pmc Statistical inference for assessing functional connectivity of neuronal ensembles with sparse spiking data
    Zhe Chen
    Neuroscience Statistics Research Laboratory, Massachusetts General Hospital, Harvard Medical School, Boston, 02114, USA
    IEEE Trans Neural Syst Rehabil Eng 19:121-35. 2011
    ..The identification of spiking dependencies in physiologically acquired data was encouraging, since their sparse nature would have previously precluded them from successful analysis using traditional methods...
  12. pmc Motor cortical networks for skilled movements have dynamic properties that are related to accurate reaching
    David F Putrino
    Neuroscience Statistics Research Laboratory, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
    Neural Plast 2011:413543. 2011
    ..The results of this study indicate that reach-related neurons in MI form dynamic spiking dependencies whose temporal features are highly sensitive to unforced movement errors...
  13. 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...
  14. 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...
  15. 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...
  16. 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...
  17. pmc Instantaneous assessment of autonomic cardiovascular control during 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 2011:8444-7. 2011
    ....
  18. doi request reprint A probabilistic framework for learning robust common spatial patterns
    Wei Wu
    Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
    Conf Proc IEEE Eng Med Biol Soc 2009:4658-61. 2009
    ..The efficacy of the proposed robust algorithm is validated with both simulated and real EEG data...
  19. pmc A hierarchical Bayesian approach for learning sparse spatio-temporal decompositions of multichannel EEG
    Wei Wu
    Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
    Neuroimage 56:1929-45. 2011
    ....
  20. 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...
  21. ncbi request reprint Bayesian decoding using unsorted spikes in the rat hippocampus
    Fabian Kloosterman
    Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts
    J Neurophysiol 111:217-27. 2014
    ..Our approach can be adapted to an online encoding/decoding framework for applications that require real-time decoding, such as brain-machine interfaces. ..
  22. ncbi request reprint Mapping of visual receptive fields by tomographic reconstruction
    Gordon Pipa
    Neuroscience Statistics Research Lab, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
    Neural Comput 24:2543-78. 2012
    ....
  23. ncbi request reprint An empirical quantitative EEG analysis for evaluating clinical brain death
    Zhe Chen
    Neuroscience Statistics Research Laboratory, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
    Conf Proc IEEE Eng Med Biol Soc 2007:3880-3. 2007
    ..The empirical results reported in this paper suggest some promising directions and valuable clues for clinical practice...