Cheng Ly

Summary

Affiliation: University of Pittsburgh
Country: USA

Publications

  1. pmc Divisive gain modulation with dynamic stimuli in integrate-and-fire neurons
    Cheng Ly
    Department of Mathematics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
    PLoS Comput Biol 5:e1000365. 2009
  2. ncbi request reprint Coupling regularizes individual units in noisy populations
    Cheng Ly
    Department of Mathematics, University of Pittsburgh, Pittsburgh, PA 15260, USA
    Phys Rev E Stat Nonlin Soft Matter Phys 81:011911. 2010
  3. doi request reprint Phase-resetting curve determines how BK currents affect neuronal firing
    Cheng Ly
    Department of Mathematics, University of Pittsburgh, Pittsburgh, PA 15260, USA
    J Comput Neurosci 30:211-23. 2011
  4. doi request reprint Synchronization dynamics of two coupled neural oscillators receiving shared and unshared noisy stimuli
    Cheng Ly
    Department of Mathematics, University of Pittsburgh, Pittsburgh, PA 15260, USA
    J Comput Neurosci 26:425-43. 2009
  5. doi request reprint Spike train statistics and dynamics with synaptic input from any renewal process: a population density approach
    Cheng Ly
    Department of Mathematics, University of Pittsburgh, Pittsburgh, PA 15260, USA
    Neural Comput 21:360-96. 2009
  6. pmc Cellular and circuit mechanisms maintain low spike co-variability and enhance population coding in somatosensory cortex
    Cheng Ly
    Department of Mathematics, University of Pittsburgh Pittsburgh, PA, USA
    Front Comput Neurosci 6:7. 2012

Detail Information

Publications6

  1. pmc Divisive gain modulation with dynamic stimuli in integrate-and-fire neurons
    Cheng Ly
    Department of Mathematics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
    PLoS Comput Biol 5:e1000365. 2009
    ....
  2. ncbi request reprint Coupling regularizes individual units in noisy populations
    Cheng Ly
    Department of Mathematics, University of Pittsburgh, Pittsburgh, PA 15260, USA
    Phys Rev E Stat Nonlin Soft Matter Phys 81:011911. 2010
    ..Coupling can have a counterintuitive and beneficial effect on noisy systems. These results have implications for the role of connectivity with noisy oscillators and the modulation of variability of individual oscillators...
  3. doi request reprint Phase-resetting curve determines how BK currents affect neuronal firing
    Cheng Ly
    Department of Mathematics, University of Pittsburgh, Pittsburgh, PA 15260, USA
    J Comput Neurosci 30:211-23. 2011
    ..These results provide a formal explanation for the apparently contradictory effects of BK channel antagonists on firing rates...
  4. doi request reprint Synchronization dynamics of two coupled neural oscillators receiving shared and unshared noisy stimuli
    Cheng Ly
    Department of Mathematics, University of Pittsburgh, Pittsburgh, PA 15260, USA
    J Comput Neurosci 26:425-43. 2009
    ..Our phase model accurately predicts the behavior of a realistic synaptically coupled Morris-Lecar system...
  5. doi request reprint Spike train statistics and dynamics with synaptic input from any renewal process: a population density approach
    Cheng Ly
    Department of Mathematics, University of Pittsburgh, Pittsburgh, PA 15260, USA
    Neural Comput 21:360-96. 2009
    ..35, is functionally equivalent to a deterministic periodic train of synaptic input events (CV = 0) with respect to spike statistics. We discuss the relevance to neural network simulations...
  6. pmc Cellular and circuit mechanisms maintain low spike co-variability and enhance population coding in somatosensory cortex
    Cheng Ly
    Department of Mathematics, University of Pittsburgh Pittsburgh, PA, USA
    Front Comput Neurosci 6:7. 2012
    ..The prevalence of spiking non-linearities and feedforward inhibition in the nervous system suggests that the mechanisms for low network variability presented in our study may generalize throughout the brain...