Adaptive exponential integrate-and-fire model as an effective description of neuronal activity.

PubWeight™: 3.64‹?› | Rank: Top 1%

🔗 View Article (PMID 16014787)

Published in J Neurophysiol on July 13, 2005

Authors

Romain Brette1, Wulfram Gerstner

Author Affiliations

1: Dept. d'Informatique, Equipe Odyssée, Ecole Normale Supérieure, 45 rue d'Ulm, 75230 Paris Cedex 05, France. brette@di.ens.fr

Articles citing this

(truncated to the top 100)

Simulation of networks of spiking neurons: a review of tools and strategies. J Comput Neurosci (2007) 4.29

PyNN: A Common Interface for Neuronal Network Simulators. Front Neuroinform (2009) 3.61

Connectivity reflects coding: a model of voltage-based STDP with homeostasis. Nat Neurosci (2010) 2.78

The emergence of functional microcircuits in visual cortex. Nature (2013) 2.65

Neuromorphic silicon neuron circuits. Front Neurosci (2011) 2.31

Predicting spike timing of neocortical pyramidal neurons by simple threshold models. J Comput Neurosci (2006) 1.75

A generalized linear integrate-and-fire neural model produces diverse spiking behaviors. Neural Comput (2009) 1.38

Tag-trigger-consolidation: a model of early and late long-term-potentiation and depression. PLoS Comput Biol (2008) 1.33

Firing patterns in the adaptive exponential integrate-and-fire model. Biol Cybern (2008) 1.29

A threshold equation for action potential initiation. PLoS Comput Biol (2010) 1.24

From spiking neuron models to linear-nonlinear models. PLoS Comput Biol (2011) 1.24

Temporal whitening by power-law adaptation in neocortical neurons. Nat Neurosci (2013) 1.23

The dynamical response properties of neocortical neurons to temporally modulated noisy inputs in vitro. Cereb Cortex (2008) 1.22

Impact of neuronal properties on network coding: roles of spike initiation dynamics and robust synchrony transfer. Neuron (2013) 1.22

Synaptic plasticity in neural networks needs homeostasis with a fast rate detector. PLoS Comput Biol (2013) 1.19

Self-sustained asynchronous irregular states and Up-Down states in thalamic, cortical and thalamocortical networks of nonlinear integrate-and-fire neurons. J Comput Neurosci (2009) 1.15

Made-to-order spiking neuron model equipped with a multi-timescale adaptive threshold. Front Comput Neurosci (2009) 1.09

Impact of fast sodium channel inactivation on spike threshold dynamics and synaptic integration. PLoS Comput Biol (2011) 1.08

A general and efficient method for incorporating precise spike times in globally time-driven simulations. Front Neuroinform (2010) 1.07

A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses. Front Neurosci (2015) 1.04

Automatic fitting of spiking neuron models to electrophysiological recordings. Front Neuroinform (2010) 1.02

Voltage and Spike Timing Interact in STDP - A Unified Model. Front Synaptic Neurosci (2010) 1.02

Extracting non-linear integrate-and-fire models from experimental data using dynamic I-V curves. Biol Cybern (2008) 1.00

TYPE III EXCITABILITY, SLOPE SENSITIVITY AND COINCIDENCE DETECTION. Discrete Contin Dyn Syst Ser A (2012) 0.99

Fitting neuron models to spike trains. Front Neurosci (2011) 0.95

Mean-field models for heterogeneous networks of two-dimensional integrate and fire neurons. Front Comput Neurosci (2013) 0.94

Membrane properties and the balance between excitation and inhibition control gamma-frequency oscillations arising from feedback inhibition. PLoS Comput Biol (2012) 0.94

Impact of adaptation currents on synchronization of coupled exponential integrate-and-fire neurons. PLoS Comput Biol (2012) 0.93

A neurocomputational model of stimulus-specific adaptation to oddball and Markov sequences. PLoS Comput Biol (2011) 0.93

An efficient simulation environment for modeling large-scale cortical processing. Front Neuroinform (2011) 0.92

Temporal Considerations for Stimulating Spiral Ganglion Neurons with Cochlear Implants. J Assoc Res Otolaryngol (2016) 0.92

Limits to high-speed simulations of spiking neural networks using general-purpose computers. Front Neuroinform (2014) 0.91

What is the most realistic single-compartment model of spike initiation? PLoS Comput Biol (2015) 0.90

Evidence Accumulator or Decision Threshold - Which Cortical Mechanism are We Observing? Front Psychol (2012) 0.89

Patterns of interval correlations in neural oscillators with adaptation. Front Comput Neurosci (2013) 0.89

Sharpness of spike initiation in neurons explained by compartmentalization. PLoS Comput Biol (2013) 0.87

Analytical approximations of the firing rate of an adaptive exponential integrate-and-fire neuron in the presence of synaptic noise. Front Comput Neurosci (2014) 0.87

Significance of input correlations in striatal function. PLoS Comput Biol (2011) 0.87

Bifurcations of large networks of two-dimensional integrate and fire neurons. J Comput Neurosci (2013) 0.87

Spiking neural network simulation: numerical integration with the Parker-Sochacki method. J Comput Neurosci (2009) 0.86

LEMS: a language for expressing complex biological models in concise and hierarchical form and its use in underpinning NeuroML 2. Front Neuroinform (2014) 0.86

Estimating parameters of generalized integrate-and-fire neurons from the maximum likelihood of spike trains. Neural Comput (2011) 0.86

GenNet: A Platform for Hybrid Network Experiments. Front Neuroinform (2011) 0.86

From 2D to 3D: novel nanostructured scaffolds to investigate signalling in reconstructed neuronal networks. Sci Rep (2015) 0.85

Computing the Local Field Potential (LFP) from Integrate-and-Fire Network Models. PLoS Comput Biol (2015) 0.85

How adaptation shapes spike rate oscillations in recurrent neuronal networks. Front Comput Neurosci (2013) 0.84

Emulating short-term synaptic dynamics with memristive devices. Sci Rep (2016) 0.84

Sub- and suprathreshold adaptation currents have opposite effects on frequency tuning. J Physiol (2012) 0.84

An Approximation to the Adaptive Exponential Integrate-and-Fire Neuron Model Allows Fast and Predictive Fitting to Physiological Data. Front Comput Neurosci (2012) 0.84

Characterization and compensation of network-level anomalies in mixed-signal neuromorphic modeling platforms. PLoS One (2014) 0.84

NEVESIM: event-driven neural simulation framework with a Python interface. Front Neuroinform (2014) 0.83

Inferring synaptic connectivity from spatio-temporal spike patterns. Front Comput Neurosci (2011) 0.83

The Cauchy problem for one-dimensional spiking neuron models. Cogn Neurodyn (2007) 0.83

Reward-based learning under hardware constraints-using a RISC processor embedded in a neuromorphic substrate. Front Neurosci (2013) 0.83

Spike-timing-based computation in sound localization. PLoS Comput Biol (2010) 0.83

Unified pre- and postsynaptic long-term plasticity enables reliable and flexible learning. Elife (2015) 0.83

Analysis of nonlinear noisy integrate & fire neuron models: blow-up and steady states. J Math Neurosci (2011) 0.83

Low-dimensional, morphologically accurate models of subthreshold membrane potential. J Comput Neurosci (2009) 0.83

Inhibitory stabilization and visual coding in cortical circuits with multiple interneuron subtypes. J Neurophysiol (2016) 0.82

BluePyOpt: Leveraging Open Source Software and Cloud Infrastructure to Optimise Model Parameters in Neuroscience. Front Neuroinform (2016) 0.82

The formation of multi-synaptic connections by the interaction of synaptic and structural plasticity and their functional consequences. PLoS Comput Biol (2015) 0.82

A continuous-time neural model for sequential action. Philos Trans R Soc Lond B Biol Sci (2014) 0.82

Virtual Electrode Recording Tool for EXtracellular potentials (VERTEX): comparing multi-electrode recordings from simulated and biological mammalian cortical tissue. Brain Struct Funct (2014) 0.82

An FPGA-Based Silicon Neuronal Network with Selectable Excitability Silicon Neurons. Front Neurosci (2012) 0.81

Oscillations emerging from noise-driven steady state in networks with electrical synapses and subthreshold resonance. Nat Commun (2014) 0.81

Using a hybrid neuron in physiologically inspired models of the basal ganglia. Front Comput Neurosci (2013) 0.81

Impact of network topology on inference of synaptic connectivity from multi-neuronal spike data simulated by a large-scale cortical network model. J Comput Neurosci (2013) 0.81

Computational models in the age of large datasets. Curr Opin Neurobiol (2015) 0.81

Interspike interval correlation in a stochastic exponential integrate-and-fire model with subthreshold and spike-triggered adaptation. J Comput Neurosci (2015) 0.80

Elemental spiking neuron model for reproducing diverse firing patterns and predicting precise firing times. Front Comput Neurosci (2011) 0.80

Emergence of connectivity motifs in networks of model neurons with short- and long-term plastic synapses. PLoS One (2014) 0.80

Automated High-Throughput Characterization of Single Neurons by Means of Simplified Spiking Models. PLoS Comput Biol (2015) 0.80

Identifying and tracking simulated synaptic inputs from neuronal firing: insights from in vitro experiments. PLoS Comput Biol (2015) 0.80

Impact of slow K(+) currents on spike generation can be described by an adaptive threshold model. J Comput Neurosci (2016) 0.80

Emergent dynamics from spiking neuron networks through symmetry breaking of connectivity. PLoS One (2013) 0.79

Effect of sharp jumps at the edges of phase response curves on synchronization of electrically coupled neuronal oscillators. PLoS One (2013) 0.79

NeuroFlow: A General Purpose Spiking Neural Network Simulation Platform using Customizable Processors. Front Neurosci (2016) 0.79

Synaptic and intrinsic homeostasis cooperate to optimize single neuron response properties and tune integrator circuits. J Neurophysiol (2016) 0.79

Heterogeneous firing rate response of mouse layer V pyramidal neurons in the fluctuation-driven regime. J Physiol (2016) 0.79

A neural mechanism for time-window separation resolves ambiguity of adaptive coding. PLoS Biol (2015) 0.79

Voltage-stepping schemes for the simulation of spiking neural networks. J Comput Neurosci (2008) 0.79

Inverse Stochastic Resonance in Cerebellar Purkinje Cells. PLoS Comput Biol (2016) 0.78

Large-Scale Simulations of Plastic Neural Networks on Neuromorphic Hardware. Front Neuroanat (2016) 0.78

Homogenous chaotic network serving as a rate/population code to temporal code converter. Comput Intell Neurosci (2014) 0.78

Interaction of short-term depression and firing dynamics in shaping single neuron encoding. Front Comput Neurosci (2013) 0.78

Chaotic solutions in the quadratic integrate-and-fire neuron with adaptation. Cogn Neurodyn (2008) 0.78

Granger causality network reconstruction of conductance-based integrate-and-fire neuronal systems. PLoS One (2014) 0.78

Spike-Based Bayesian-Hebbian Learning of Temporal Sequences. PLoS Comput Biol (2016) 0.78

A stimulus-dependent spike threshold is an optimal neural coder. Front Comput Neurosci (2015) 0.78

Impact of sub and supra-threshold adaptation currents in networks of spiking neurons. J Comput Neurosci (2015) 0.77

libNeuroML and PyLEMS: using Python to combine procedural and declarative modeling approaches in computational neuroscience. Front Neuroinform (2014) 0.77

Control of abnormal synchronization in neurological disorders. Front Neurol (2014) 0.77

Leader neurons in leaky integrate and fire neural network simulations. J Comput Neurosci (2011) 0.77

The irregular firing properties of thalamic head direction cells mediate turn-specific modulation of the directional tuning curve. J Neurophysiol (2014) 0.77

The mechanism of saccade motor pattern generation investigated by a large-scale spiking neuron model of the superior colliculus. PLoS One (2013) 0.77

Nonlinear Dynamics of Neuronal Excitability, Oscillations, and Coincidence Detection. Commun Pure Appl Math (2013) 0.77

Signal enhancement in the output stage of the basal ganglia by synaptic short-term plasticity in the direct, indirect, and hyperdirect pathways. Front Comput Neurosci (2013) 0.76

Spectrum of Lyapunov exponents of non-smooth dynamical systems of integrate-and-fire type. J Comput Neurosci (2009) 0.76

Optimal number of stimulation contacts for coordinated reset neuromodulation. Front Neuroeng (2013) 0.76

Nonlinear dynamic modeling of neuron action potential threshold during synaptically driven broadband intracellular activity. IEEE Trans Biomed Eng (2011) 0.76

Articles by these authors

Connectivity reflects coding: a model of voltage-based STDP with homeostasis. Nat Neurosci (2010) 2.78

Phenomenological models of synaptic plasticity based on spike timing. Biol Cybern (2008) 2.70

Triplets of spikes in a model of spike timing-dependent plasticity. J Neurosci (2006) 2.46

Noninvasive brain-actuated control of a mobile robot by human EEG. IEEE Trans Biomed Eng (2004) 2.16

Dynamic I-V curves are reliable predictors of naturalistic pyramidal-neuron voltage traces. J Neurophysiol (2007) 1.84

Generalized integrate-and-fire models of neuronal activity approximate spike trains of a detailed model to a high degree of accuracy. J Neurophysiol (2004) 1.76

Predicting spike timing of neocortical pyramidal neurons by simple threshold models. J Comput Neurosci (2006) 1.75

Optimal spike-timing-dependent plasticity for precise action potential firing in supervised learning. Neural Comput (2006) 1.60

A history of spike-timing-dependent plasticity. Front Synaptic Neurosci (2011) 1.55

A benchmark test for a quantitative assessment of simple neuron models. J Neurosci Methods (2007) 1.42

The quantitative single-neuron modeling competition. Biol Cybern (2008) 1.35

Tag-trigger-consolidation: a model of early and late long-term-potentiation and depression. PLoS Comput Biol (2008) 1.33

Microcircuits of excitatory and inhibitory neurons in layer 2/3 of mouse barrel cortex. J Neurophysiol (2012) 1.33

Is there a geometric module for spatial orientation? Insights from a rodent navigation model. Psychol Rev (2009) 1.31

Extraction of Network Topology From Multi-Electrode Recordings: Is there a Small-World Effect? Front Comput Neurosci (2011) 1.30

Firing patterns in the adaptive exponential integrate-and-fire model. Biol Cybern (2008) 1.29

Temporal whitening by power-law adaptation in neocortical neurons. Nat Neurosci (2013) 1.23

Synaptic plasticity in neural networks needs homeostasis with a fast rate detector. PLoS Comput Biol (2013) 1.19

Functional requirements for reward-modulated spike-timing-dependent plasticity. J Neurosci (2010) 1.19

Generalized Bienenstock-Cooper-Munro rule for spiking neurons that maximizes information transmission. Proc Natl Acad Sci U S A (2005) 1.09

Spike-based reinforcement learning in continuous state and action space: when policy gradient methods fail. PLoS Comput Biol (2009) 1.08

Stress, genotype and norepinephrine in the prediction of mouse behavior using reinforcement learning. Nat Neurosci (2009) 1.08

Voltage and Spike Timing Interact in STDP - A Unified Model. Front Synaptic Neurosci (2010) 1.02

Extracting non-linear integrate-and-fire models from experimental data using dynamic I-V curves. Biol Cybern (2008) 1.00

Optimality model of unsupervised spike-timing-dependent plasticity: synaptic memory and weight distribution. Neural Comput (2007) 0.99

Robust self-localisation and navigation based on hippocampal place cells. Neural Netw (2005) 0.98

Reinforcement learning using a continuous time actor-critic framework with spiking neurons. PLoS Comput Biol (2013) 0.97

Parameter extraction and classification of three cortical neuron types reveals two distinct adaptation mechanisms. J Neurophysiol (2011) 0.97

Synaptic shot noise and conductance fluctuations affect the membrane voltage with equal significance. Neural Comput (2005) 0.94

Changing the responses of cortical neurons from sub- to suprathreshold using single spikes in vivo. Elife (2013) 0.92

STDP in Adaptive Neurons Gives Close-To-Optimal Information Transmission. Front Comput Neurosci (2010) 0.91

Short-term synaptic plasticity orchestrates the response of pyramidal cells and interneurons to population bursts. J Comput Neurosci (2005) 0.89

Coding and learning of behavioral sequences. Trends Neurosci (2004) 0.86

From spiking neurons to rate models: a cascade model as an approximation to spiking neuron models with refractoriness. Phys Rev E Stat Nonlin Soft Matter Phys (2006) 0.86

Cognitive navigation based on nonuniform Gabor space sampling, unsupervised growing networks, and reinforcement learning. IEEE Trans Neural Netw (2004) 0.85

Improved similarity measures for small sets of spike trains. Neural Comput (2011) 0.85

Reward-based learning under hardware constraints-using a RISC processor embedded in a neuromorphic substrate. Front Neurosci (2013) 0.83

Paradoxical evidence integration in rapid decision processes. PLoS Comput Biol (2012) 0.83

Modeling spatial and temporal aspects of visual backward masking. Psychol Rev (2008) 0.83

Perceptual learning, roving and the unsupervised bias. Vision Res (2011) 0.83

Spike-triggered averages for passive and resonant neurons receiving filtered excitatory and inhibitory synaptic drive. Phys Rev E Stat Nonlin Soft Matter Phys (2008) 0.82

Coding and decoding with adapting neurons: a population approach to the peri-stimulus time histogram. PLoS Comput Biol (2012) 0.81

Non-normal amplification in random balanced neuronal networks. Phys Rev E Stat Nonlin Soft Matter Phys (2012) 0.81

Stable propagation of activity pulses in populations of spiking neurons. Neural Comput (2002) 0.80

Statistics of subthreshold neuronal voltage fluctuations due to conductance-based synaptic shot noise. Chaos (2006) 0.79

A computational model of parallel navigation systems in rodents. Neuroinformatics (2005) 0.79

Consciousness & the small network argument. Neural Netw (2007) 0.78

Gamma oscillations in a nonlinear regime: a minimal model approach using heterogeneous integrate-and-fire networks. Neural Comput (2008) 0.78

Predicting spike times of a detailed conductance-based neuron model driven by stochastic spike arrival. J Physiol Paris (2005) 0.77

Special issue on quantitative neuron modeling. Biol Cybern (2008) 0.77

Signal buffering in random networks of spiking neurons: microscopic versus macroscopic phenomena. Phys Rev E Stat Nonlin Soft Matter Phys (2005) 0.76

The silent period of evidence integration in fast decision making. PLoS One (2013) 0.75

Piecewise linear differential equations and integrate-and-fire neurons: insights from two-dimensional membrane models. Phys Rev E Stat Nonlin Soft Matter Phys (2003) 0.75

Noise-enhanced computation in a model of a cortical column. Neuroreport (2005) 0.75

Transient information flow in a network of excitatory and inhibitory model neurons: role of noise and signal autocorrelation. J Physiol Paris (2005) 0.75