Fast global oscillations in networks of integrate-and-fire neurons with low firing rates

Collective behavior of networks with linear (VLSI) integrate-and-fire neurons

Neural Computation

Mean-field Theory and Synchronization in Random Recurrent Neural Networks

Neural Processing Letters

Dynamics of the firing probability of noisy integrate-and-fire neurons

Neural Computation

Asynchronous states and the emergence of synchrony in large networks of interacting excitatory and inhibitory neurons

Neural Computation

Mean-Field Population Dynamics of Spiking Neurons with Random Synaptic Delays

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

Synchronization in networks of excitatory and inhibitory Neurons with sparse, random connectivity

Neural Computation

Temporal correlations in stochastic networks of spiking neurons

Neural Computation

Event-driven simulation of spiking neurons with stochastic dynamics

Neural Computation

On embedding synfire chains in a balanced network

Neural Computation

Firing rate of the noisy quadratic integrate-and-fire neuron

Neural Computation

Effects of Fast Presynaptic Noise in Attractor Neural Networks

Neural Computation

Spontaneous Dynamics of Asymmetric Random Recurrent Spiking Neural Networks

Neural Computation

Effects of Noisy Drive on Rhythms in Networks of Excitatory and Inhibitory Neurons

Neural Computation

The Combined Effects of Inhibitory and Electrical Synapses in Synchrony

Neural Computation

Coding of Temporally Varying Signals in Networks of Spiking Neurons with Global Delayed Feedback

Neural Computation

Rapid Temporal Modulation of Synchrony by Competition in Cortical Interneuron Networks

Neural Computation

Minimal Models of Adapted Neuronal Response to In Vivo–lLike Input Currents

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

Dual Information Representation with Stable Firing Rates and Chaotic Spatiotemporal Spike Patterns in a Neural Network Model

Neural Computation

Noise in Integrate-and-Fire Neurons: From Stochastic Input to Escape Rates

Neural Computation

Population Dynamics of Spiking Neurons: Fast Transients, Asynchronous States, and Locking

Neural Computation

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

Neural Computation

The Number of Synaptic Inputs and the Synchrony of Large, Sparse Neuronal Networks

Neural Computation

The Spike-Triggered Average of the Integrate-and-Fire Cell Driven by Gaussian White Noise

Neural Computation

Event-driven simulation scheme for spiking neural networks using lookup tables to characterize neuronal dynamics

Neural Computation

Mean-driven and fluctuation-driven persistent activity in recurrent networks

Neural Computation

Desynchronized stable states in diluted neural networks

Neurocomputing

Spike-Timing-Dependent Plasticity in Balanced Random Networks

Neural Computation

Critical Analysis of Dimension Reduction by a Moment Closure Method in a Population Density Approach to Neural Network Modeling

Neural Computation

Variable Timescales of Repeated Spike Patterns in Synfire Chain with Mexican-Hat Connectivity

Neural Computation

Phase Transition and Hysteresis in an Ensemble of Stochastic Spiking Neurons

Neural Computation

Populations of tightly coupled neurons: The rgc/lgn system

Neural Computation

Stochastic synchrony of chaos in a pulse-coupled neural network with both chemical and electrical synapses among inhibitory neurons

Neural Computation

Oscillations and spiking pairs: Behavior of a neuronal model with stdp learning

Neural Computation

Dependence of neuronal correlations on filter characteristics and marginal spike train statistics

Neural Computation

Correlations and population dynamics in cortical networks

Neural Computation

2008 Special Issue: The state of MIIND

Neural Networks

Gamma oscillations in a nonlinear regime: A minimal model approach using heterogeneous integrate-and-fire networks

Neural Computation

A master equation formalism for macroscopic modeling of asynchronous irregular activity states

Neural Computation

Spike train statistics and dynamics with synaptic input from any renewal process: A population density approach

Neural Computation

Mean-field approximations for coupled populations of generalized linear model spiking neurons with markov refractoriness

Neural Computation

Delays and oscillations in networks of spiking neurons: a two-timescale analysis

Neural Computation

Systematic fluctuation expansion for neural network activity equations

Neural Computation

Online processing of multiple inputs in a sparsely-connected recurrent neural network

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

Response of integrate-and-fire neurons to noisy inputs filtered by synapses with arbitrary timescales: Firing rate and correlations

Neural Computation

A numerical solver for a nonlinear Fokker-Planck equation representation of neuronal network dynamics

Journal of Computational Physics

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

Neural Computation

Spiking neurons that keep the rhythm

Journal of Computational Neuroscience

Impact of noise structure and network topology on tracking speed of neural networks

Neural Networks

Statistical-mechanical measure of stochastic spiking coherence in a population of inhibitory subthreshold neurons

Journal of Computational Neuroscience

Finite-size and correlation-induced effects in mean-field dynamics

Journal of Computational Neuroscience

A Markovian event-based framework for stochastic spiking neural networks

Journal of Computational Neuroscience

The ideal noisy environment for fast neural computation

ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I

Stimulus-Dependent noise facilitates tracking performances of neuronal networks

ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part I

A dynamical pattern recognition model of gamma activity in auditory cortex

Neural Networks

Oscillatory synchronization model of attention to moving objects

Neural Networks

Dynamic state and parameter estimation applied to neuromorphic systems

Neural Computation

Some Non-standard Sobolev Spaces, Interpolation and Its Application to PDE

Acta Applicandae Mathematicae: an international survey journal on applying mathematics and mathematical applications

Key role of voltage-dependent properties of synaptic currents in robust network synchronization

Neural Networks

A principled dimension-reduction method for the population density approach to modeling networks of neurons with synaptic dynamics

Neural Computation

Information transfer characteristic in memristic neuromorphic network

ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part I

Distribution of correlated spiking events in a population-based approach for Integrate-and-Fire networks

Journal of Computational Neuroscience