Ernst Niebur

Summary

Affiliation: Johns Hopkins University
Country: USA

Publications

  1. pmc Estimating parameters of generalized integrate-and-fire neurons from the maximum likelihood of spike trains
    Yi Dong
    Department of Neuroscience and Mind Brain Institute, Johns Hopkins University, Baltimore, MD 21218, USA
    Neural Comput 23:2833-67. 2011
  2. pmc Synchrony and the binding problem in macaque visual cortex
    Yi Dong
    Zanvyl Krieger Mind Brain Institute, and Department of Neuroscience, Johns Hopkins University, Baltimore, MD, USA
    J Vis 8:30.1-16. 2008
  3. pmc Improved integral equation solution for the first passage time of leaky integrate-and-fire neurons
    Yi Dong
    Zanvyl Krieger Mind Brain Institute and Solomon Snyder Department of Neuroscience, Johns Hopkins University, Baltimore, MD 21218, USA
    Neural Comput 23:421-34. 2011
  4. ncbi request reprint Correlated inhibitory and excitatory inputs to the coincidence detector: analytical solution
    Shawn Mikula
    The Krieger Mind Brain Institute and the Department of Neuroscience, The Johns Hopkins University, Baltimore, MD 21218, USA
    IEEE Trans Neural Netw 15:957-62. 2004
  5. pmc Optimization methods for spiking neurons and networks
    Alexander Russell
    Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
    IEEE Trans Neural Netw 21:1950-62. 2010
  6. ncbi request reprint A neural model of figure-ground organization
    Edward Craft
    Department of Biophysics, Johns Hopkins University, 338 Krieger Hall, 3400 N Charles St, Baltimore, MD 21218 2685, USA
    J Neurophysiol 97:4310-26. 2007
  7. pmc Rate and synchrony in feedforward networks of coincidence detectors: analytical solution
    Shawn Mikula
    Zanvyl Krieger Mind Brain Institute and Department of Neuroscience, Johns Hopkins University, Baltimore, MD 21218, USA
    Neural Comput 17:881-902. 2005
  8. pmc A simple model of mechanotransduction in primate glabrous skin
    Yi Dong
    Zanvyl Krieger Mind Brain Institute, Johns Hopkins University, Baltimore, MD, USA
    J Neurophysiol 109:1350-9. 2013
  9. pmc Mechanisms of perceptual organization provide auto-zoom and auto-localization for attention to objects
    Stefan Mihalas
    Krieger Mind Brain Institute and Department of Neuroscience, The Johns Hopkins University, Baltimore, MD 21218, USA
    Proc Natl Acad Sci U S A 108:7583-8. 2011
  10. pmc Mechanisms underlying the influence of saliency on value-based decisions
    Xiaomo Chen
    Solomon H Snyder Department of Neuroscience, Johns Hopkins University School of Medicine and Zanvyl Krieger Mind Brain Institute, Baltimore, MD, USA
    J Vis 13:18. 2013

Detail Information

Publications25

  1. pmc Estimating parameters of generalized integrate-and-fire neurons from the maximum likelihood of spike trains
    Yi Dong
    Department of Neuroscience and Mind Brain Institute, Johns Hopkins University, Baltimore, MD 21218, USA
    Neural Comput 23:2833-67. 2011
    ..Furthermore, we show that a nonlinear function minimization method (r-algorithm with space dilation) usually reaches the global minimum...
  2. pmc Synchrony and the binding problem in macaque visual cortex
    Yi Dong
    Zanvyl Krieger Mind Brain Institute, and Department of Neuroscience, Johns Hopkins University, Baltimore, MD, USA
    J Vis 8:30.1-16. 2008
    ..This suggests that the synchrony reflected the connectivity in the network that generates border ownership assignment. Thus, we have not found evidence to support the binding-by-synchrony hypothesis...
  3. pmc Improved integral equation solution for the first passage time of leaky integrate-and-fire neurons
    Yi Dong
    Zanvyl Krieger Mind Brain Institute and Solomon Snyder Department of Neuroscience, Johns Hopkins University, Baltimore, MD 21218, USA
    Neural Comput 23:421-34. 2011
    ..The problem is solved by analytically computing, in each time bin, the mean probability current. Efficiency is further improved by identifying and ignoring time bins with negligible mean probability current...
  4. ncbi request reprint Correlated inhibitory and excitatory inputs to the coincidence detector: analytical solution
    Shawn Mikula
    The Krieger Mind Brain Institute and the Department of Neuroscience, The Johns Hopkins University, Baltimore, MD 21218, USA
    IEEE Trans Neural Netw 15:957-62. 2004
    ..In general, we find that including inhibition invariably and significantly increases the behavioral repertoire of the coincidence detector over the case of pure excitatory input...
  5. pmc Optimization methods for spiking neurons and networks
    Alexander Russell
    Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
    IEEE Trans Neural Netw 21:1950-62. 2010
    ..The GA approach is demonstrated both in software simulation and hardware implementation on a reconfigurable custom very large scale integration chip...
  6. ncbi request reprint A neural model of figure-ground organization
    Edward Craft
    Department of Biophysics, Johns Hopkins University, 338 Krieger Hall, 3400 N Charles St, Baltimore, MD 21218 2685, USA
    J Neurophysiol 97:4310-26. 2007
    ..The results are consistent with neurophysiological and psychophysical findings. The model makes predictions about the hypothetical grouping circuits and the role of feedback between cortical areas...
  7. pmc Rate and synchrony in feedforward networks of coincidence detectors: analytical solution
    Shawn Mikula
    Zanvyl Krieger Mind Brain Institute and Department of Neuroscience, Johns Hopkins University, Baltimore, MD 21218, USA
    Neural Comput 17:881-902. 2005
    ....
  8. pmc A simple model of mechanotransduction in primate glabrous skin
    Yi Dong
    Zanvyl Krieger Mind Brain Institute, Johns Hopkins University, Baltimore, MD, USA
    J Neurophysiol 109:1350-9. 2013
    ..We conclude that the responses of mechanoreceptive afferents can be understood using a very parsimonious mechanistic model, which can then be used to accurately simulate the responses of afferent populations...
  9. pmc Mechanisms of perceptual organization provide auto-zoom and auto-localization for attention to objects
    Stefan Mihalas
    Krieger Mind Brain Institute and Department of Neuroscience, The Johns Hopkins University, Baltimore, MD 21218, USA
    Proc Natl Acad Sci U S A 108:7583-8. 2011
    ....
  10. pmc Mechanisms underlying the influence of saliency on value-based decisions
    Xiaomo Chen
    Solomon H Snyder Department of Neuroscience, Johns Hopkins University School of Medicine and Zanvyl Krieger Mind Brain Institute, Baltimore, MD, USA
    J Vis 13:18. 2013
    ..Visual salience thus likely provides an advantage in the onset, not in the processing speed, of value-based decision making. ..
  11. pmc A generalized linear integrate-and-fire neural model produces diverse spiking behaviors
    Stefan Mihalas
    Zanvyl Krieger Mind Brain Institute and Department of Neuroscience, Johns Hopkins University, Baltimore, MD 21218, USA
    Neural Comput 21:704-18. 2009
    ..It is a natural match with event-driven algorithms for which the firing times are obtained as a solution of a polynomial equation...
  12. ncbi request reprint A novel method for visualizing functional connectivity using principal component analysis
    Shawn Mikula
    Krieger Mind Brain Institute Johns Hopkins University, Baltimore, Maryland, USA
    Int J Neurosci 116:419-29. 2006
    ....
  13. pmc High-frequency gamma activity (80-150Hz) is increased in human cortex during selective attention
    Supratim Ray
    Department of Biomedical Engineering, 253 Krieger Hall, Zanvyl Krieger Mind Brain Institute, The Johns Hopkins University, 3400 N Charles Street, Baltimore, MD 21218, USA
    Clin Neurophysiol 119:116-33. 2008
    ..To study the role of gamma oscillations (>30Hz) in selective attention using subdural electrocorticography (ECoG) in humans...
  14. pmc Generation of synthetic spike trains with defined pairwise correlations
    Ernst Niebur
    Krieger Mind Brain Institute and Department of Neuroscience, Johns Hopkins University, Baltimore, MD 21218, USA
    Neural Comput 19:1720-38. 2007
    ..The algorithm is highly efficient, its complexity increasing linearly with the number of spike trains generated and therefore inversely with the number of cross-correlated pairs...
  15. ncbi request reprint Electrophysiological correlates of synchronous neural activity and attention: a short review
    Ernst Niebur
    Department of Neuroscience, The Zanvyl Krieger Mind Brain Institute, Johns Hopkins University, 3400 N Charles Street, Baltimore, MD 21218, USA
    Biosystems 67:157-66. 2002
    ..I review electrophysiological evidence at macroscopic, mesoscopic and microscopic spatial scales showing that the degree of synchronous activity varies with the attentional state of the perceiving organism...
  16. ncbi request reprint Synchrony: a neuronal mechanism for attentional selection?
    Ernst Niebur
    Zanvyl Krieger Mind Brain Institute, Johns Hopkins University, Baltimore, Maryland 21218, USA
    Curr Opin Neurobiol 12:190-4. 2002
    ..Recent experimental evidence supports this theory, by showing that changes in attentional focus increase the synchrony of neural firing in some neuron pairs and decrease it in others...
  17. pmc A model of proto-object based saliency
    Alexander F Russell
    Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD 21218, United States
    Vision Res 94:1-15. 2014
    ..All computational mechanisms of the algorithm have direct neural correlates, and our results provide evidence for the interface theory of attention. ..
  18. pmc Parameter estimation of a spiking silicon neuron
    Alexander Russell
    Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA
    IEEE Trans Biomed Circuits Syst 6:133-41. 2012
    ..We conclude that the distance based method is better suited for parameter configuration of silicon neurons due to its superior optimization speed. ..
  19. pmc A model for neuronal competition during development
    Christopher D Deppmann
    Solomon Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
    Science 320:369-73. 2008
    ..We suggest that three target-initiated events are essential for rapid and robust competition between neurons: sensitization, paracrine apoptotic signaling, and protection from such effects...
  20. ncbi request reprint Texture contrast attracts overt visual attention in natural scenes
    Derrick J Parkhurst
    The Zanvyl Krieger Mind Brain Institute, The Johns Hopkins University, Baltimore, Maryland, 21218, USA
    Eur J Neurosci 19:783-9. 2004
    ..The significance of this result for attentional guidance in other paradigms is discussed...
  21. ncbi request reprint Scene content selected by active vision
    Derrick J Parkhurst
    Department of Psychological and Brain Sciences, Zanvyl Krieger Mind Brain Institute, Johns Hopkins University, Baltimore, Maryland 21218, USA
    Spat Vis 16:125-54. 2003
    ....
  22. ncbi request reprint Variable-resolution displays: a theoretical, practical, and behavioral evaluation
    Derrick J Parkhurst
    Zanvyl Krieger Mind Brain Institute, Johns Hopkins University, Baltimore, Maryland 21218, USA
    Hum Factors 44:611-29. 2002
    ..The potential for variable-resolution display techniques as a viable future technology is discussed...
  23. ncbi request reprint The effects of input rate and synchrony on a coincidence detector: analytical solution
    Shawn Mikula
    Zanvyl Krieger Mind Brain Institute and Department of Neuroscience, Johns Hopkins University, Baltimore, MD 21218, USA
    Neural Comput 15:539-47. 2003
    ....
  24. ncbi request reprint Modeling the role of salience in the allocation of overt visual attention
    Derrick Parkhurst
    The Department of Psychology, The Johns Hopkins University, 3400 N Charles Street, Baltimore, MD 21218, USA
    Vision Res 42:107-23. 2002
    ..Overall, the results indicate that stimulus-driven, bottom-up mechanisms contribute significantly to attentional guidance under natural viewing conditions...
  25. ncbi request reprint Synaptic depression leads to nonmonotonic frequency dependence in the coincidence detector
    Shawn Mikula
    Krieger Mind Brain Institute and Department of Neuroscience, Johns Hopkins University, Baltimore, MD 21218, USA
    Neural Comput 15:2339-58. 2003
    ..This leads to the counterintuitive prediction that higher presynaptic (input) rates may lead to lower postsynaptic (output) rates where the output rate may fall faster than the inverse of the input rate...