Ion channel stochasticity may be critical in determining the reliability and precision of spike timing

Parametric Amplification of Signals by Noise in Neurons and Neural Networks

Neural Processing Letters

Impact of geometrical structures on the output of neuronal models: a theoretical and numerical analysis

Neural Computation

The impact of spike timing variability on the signal-encoding performance of neural spiking models

Neural Computation

Computation in a single Neuron: Hodgkin and Huxley revisited

Neural Computation

2005 Special Issue: Stochastic resonance in noisy spiking retinal and sensory neuron models

Neural Networks - 2005 Special issue: IJCNN 2005

Detecting and Estimating Signals in Noisy Cable Structures, I: Neuronal Noise Sources

Neural Computation

Interspike Interval Statistics in the Stochastic Hodgkin-Huxley Model: Coexistence of Gamma Frequency Bursts and Highly Irregular Firing

Neural Computation

2009 Special Issue: Error-probability noise benefits in threshold neural signal detection

Neural Networks

Neural signal-detection noise benefits based on error probability

IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks

Modeling single neuron behavior using stochastic differential equations

Neurocomputing

On the noise-enhancing ability of stochastic hodgkin-huxley neuron systems

Neural Computation

Transition and enhancement of synchronization by time delays in stochastic Hodgkin-Huxley neuron networks

Neurocomputing

Persistent membranous cross correlations due to the multiplicity of gates in ion channels

Journal of Computational Neuroscience

Reduction of stochastic conductance-based neuron models with time-scales separation

Journal of Computational Neuroscience

Stochastic hodgkin-huxley equations with colored noise terms in the conductances

Neural Computation

An investigation of the stochastic hodgkin-huxley models under noisy rate functions

Neural Computation