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Cheng Ly

Showing results (1-10 of 31) with videos related to

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Journal of Computational Neuroscience|October 11, 2015
Firing rate dynamics in recurrent spiking neural networks with intrinsic and network heterogeneityCheng Ly
Neural Computation|June 20, 2013
A principled dimension-reduction method for the population density approach to modeling networks of neurons with synaptic dynamicsCheng Ly
Plos One|May 5, 2017
Noise-enhanced coding in phasic neuron spike trainsCheng Ly, Brent Doiron
Plos Computational Biology|April 25, 2009
Divisive gain modulation with dynamic stimuli in integrate-and-fire neuronsCheng Ly, Brent Doiron
Bulletin of Mathematical Biology|August 25, 2022
The Effects of Background Noise on a Biophysical Model of Olfactory Bulb Mitral CellsMichelle Craft, Cheng Ly
Mathematical Biosciences and Engineering : MBE|May 30, 2019
Firing rate distributions in a feedforward network of neural oscillators with intrinsic and network heterogeneityKyle Wendling, Cheng Ly
Neural Computation|June 19, 2007
Critical analysis of dimension reduction by a moment closure method in a population density approach to neural network modelingCheng Ly, Daniel Tranchina
Journal of Computational Neuroscience|November 11, 2017
Variable synaptic strengths controls the firing rate distribution in feedforward neural networksCheng Ly, Gary Marsat
Neural Computation|May 12, 2009
Spike train statistics and dynamics with synaptic input from any renewal process: a population density approachCheng Ly, Daniel Tranchina
Physical Review. E|September 28, 2017
Practical approximation method for firing-rate models of coupled neural networks with correlated inputsAndrea K Barreiro, Cheng Ly
Pageof 4

Showing results (1-10 of 31) with videos related to

Sort By:
Pageof 4
Journal of Computational Neuroscience|October 11, 2015
Firing rate dynamics in recurrent spiking neural networks with intrinsic and network heterogeneityCheng Ly
Neural Computation|June 20, 2013
A principled dimension-reduction method for the population density approach to modeling networks of neurons with synaptic dynamicsCheng Ly
Plos One|May 5, 2017
Noise-enhanced coding in phasic neuron spike trainsCheng Ly, Brent Doiron
Plos Computational Biology|April 25, 2009
Divisive gain modulation with dynamic stimuli in integrate-and-fire neuronsCheng Ly, Brent Doiron
Bulletin of Mathematical Biology|August 25, 2022
The Effects of Background Noise on a Biophysical Model of Olfactory Bulb Mitral CellsMichelle Craft, Cheng Ly
Mathematical Biosciences and Engineering : MBE|May 30, 2019
Firing rate distributions in a feedforward network of neural oscillators with intrinsic and network heterogeneityKyle Wendling, Cheng Ly
Neural Computation|June 19, 2007
Critical analysis of dimension reduction by a moment closure method in a population density approach to neural network modelingCheng Ly, Daniel Tranchina
Journal of Computational Neuroscience|November 11, 2017
Variable synaptic strengths controls the firing rate distribution in feedforward neural networksCheng Ly, Gary Marsat
Neural Computation|May 12, 2009
Spike train statistics and dynamics with synaptic input from any renewal process: a population density approachCheng Ly, Daniel Tranchina
Physical Review. E|September 28, 2017
Practical approximation method for firing-rate models of coupled neural networks with correlated inputsAndrea K Barreiro, Cheng Ly
Pageof 4