On numerical simulations of integrate-and-fire neural networks

Attractor reliability reveals deterministic structure in neuronal spike trains

Neural Computation

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

Neural Computation

Advancing the Boundaries of High-Connectivity Network Simulation with Distributed Computing

Neural Computation

Patterns of Synchrony in Neural Networks with Spike Adaptation

Neural Computation

Synchrony in Heterogeneous Networks of Spiking Neurons

Neural Computation

Efficient Event-Driven Simulation of Large Networks of Spiking Neurons and Dynamical Synapses

Neural Computation

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

Neural Computation

Exact simulation of integrate-and-fire models with synaptic conductances

Neural Computation

Sequential Memory: A Putative Neural and Synaptic Dynamical Mechanism

Journal of Cognitive Neuroscience

''What'' and ''Where'' in Visual Working Memory: A Computational Neurodynamical Perspective for Integrating fMRI and Single-Neuron Data

Journal of Cognitive Neuroscience

Exact subthreshold integration with continuous spike times in discrete-time neural network simulations

Neural Computation

How much can we trust neural simulation strategies?

Neurocomputing

Analytical Integrate-and-Fire Neuron Models with Conductance-Based Dynamics for Event-Driven Simulation Strategies

Neural Computation

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

Neural Computation

Solution methods for a new class of simple model neurons

Neural Computation

Event-driven simulations of nonlinear integrate-and-fire neurons

Neural Computation

The high-conductance state of cortical networks

Neural Computation

Simplicity and efficiency of integrate-and-fire neuron models

Neural Computation

Generalization of the event-based carnevale-hines integration scheme for integrate-and-fire models

Neural Computation

Accelerating event-driven simulation of spiking neurons with multiple synaptic time constants

Neural Computation

Event-based simulation strategy for conductance-based synaptic interactions and plasticity

Neurocomputing

On the performance of voltage stepping for the simulation of adaptive, nonlinear integrate-and-fire neuronal networks

Neural Computation

Compositionality of arm movements can be realized by propagating synchrony

Journal of Computational Neuroscience

Convergence analysis of a class of simplified background neural networks with two subnetworks

Neurocomputing

A multiscale numerical method for the heterogeneous cable equation

Neurocomputing

A reafferent and feed-forward model of song syntax generation in the Bengalese finch

Journal of Computational Neuroscience

Coarse-grained event tree analysis for quantifying Hodgkin-Huxley neuronal network dynamics

Journal of Computational Neuroscience

Analytical integrate-and-fire neuron models with conductance-based dynamics and realistic postsynaptic potential time course for event-driven simulation strategies

Neural Computation

Analyzing the effects of gap junction blockade on neural synchrony via a motoneuron network computational model

Computational Intelligence and Neuroscience