Physiological gain leads to high ISI variability in a simple model of a cortical regular spiking cell

Dynamics of membrane excitability determine interspike interval variability: a link between spike generation mechanisms and cortical spike train statistics

Neural Computation

Chaotic balanced state in a model of cortical circuits

Neural Computation

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

Neural Computation

The continuum of operating modes for a passive model neuron

Neural Computation

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

Neural Computation

Integrate-and-fire neurons driven by correlated stochastic input

Neural Computation

Higher-order statistics of input ensembles and the response of simple model neurons

Neural Computation

When NMDA Receptor Conductances Increase Inter-spike Interval Variability

ICANN '02 Proceedings of the International Conference on Artificial Neural Networks

Background synaptic activity as a switch between dynamical states in a network

Neural Computation

Analytic expressions for rate and CV of a type I Neuron driven by white Gaussian noise

Neural Computation

The Effect of NMDA Receptors on Gain Modulation

Neural Computation

Including Long-Range Dependence in Integrate-and-Fire Models of the High Interspike-Interval Variability of Cortical Neurons

Neural Computation

Correlation Between Uncoupled Conductance-Based Integrate-and-Fire Neurons Due to Common and Synchronous Presynaptic Firing

Neural Computation

Gaussian Process Approach to Spiking Neurons for Inhomogeneous Poisson Inputs

Neural Computation

Calculation of Interspike Intervals for Integrate-and-Fire Neurons with Poisson Distribution of Synaptic Inputs

Neural Computation

How Noise Affects the Synchronization Properties of Recurrent Networks of Inhibitory Neurons

Neural Computation

Extracting Oscillations: Neuronal Coincidence Detection with Noisy Periodic Spike Input

Neural Computation

Dynamic gain changes during attentional modulation

Neural Computation

Optimal spike-timing-dependent plasticity for precise action potential firing in supervised learning

Neural Computation

A Model of Prefrontal Cortical Mechanisms for Goal-directed Behavior

Journal of Cognitive Neuroscience

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

Neural Computation

Phase precession through synaptic facilitation

Neural Computation

Self-organized Complex Neural Networks through Nonlinear Temporally Asymmetric Hebbian Plasticity

ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I

Correlation between eigenvalue spectra and dynamics of neural networks

Neural Computation

Temporal processing in the exponential integrate-and-fire model is nonlinear

Neurocomputing

Optimal Hebbian learning: a probabilistic point of view

ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing

2010 Special Issue: Fitting a stochastic spiking model to neuronal current injection data

Neural Networks

The dynamics of integrate-and-fire: Mean versus variance modulations and dependence on baseline parameters

Neural Computation

Phase precession and recession with STDP and Anti-STDP

ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I

First passage time problem for the ornstein-uhlenbeck neuronal model

ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I

First passage time problem for the ornstein-uhlenbeck neuronal model

ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I