Published in PLoS One on February 11, 2010
Statistical analyses support power law distributions found in neuronal avalanches. PLoS One (2011) 1.74
Avalanches in a stochastic model of spiking neurons. PLoS Comput Biol (2010) 1.59
Neuronal avalanches in spontaneous activity in vivo. J Neurophysiol (2010) 1.54
Mean-field description and propagation of chaos in networks of Hodgkin-Huxley and FitzHugh-Nagumo neurons. J Math Neurosci (2012) 1.52
Neurobiologically realistic determinants of self-organized criticality in networks of spiking neurons. PLoS Comput Biol (2011) 1.51
Being critical of criticality in the brain. Front Physiol (2012) 1.38
Fractals in the nervous system: conceptual implications for theoretical neuroscience. Front Physiol (2010) 1.36
Computational and dynamic models in neuroimaging. Neuroimage (2009) 1.21
Avalanche Analysis from Multielectrode Ensemble Recordings in Cat, Monkey, and Human Cerebral Cortex during Wakefulness and Sleep. Front Physiol (2012) 1.18
Fading signatures of critical brain dynamics during sustained wakefulness in humans. J Neurosci (2013) 1.18
Voltage imaging of waking mouse cortex reveals emergence of critical neuronal dynamics. J Neurosci (2014) 1.11
Distributed processing; distributed functions? Neuroimage (2012) 1.04
Finite-size and correlation-induced effects in mean-field dynamics. J Comput Neurosci (2011) 0.95
Extracting functionally feedforward networks from a population of spiking neurons. Front Comput Neurosci (2012) 0.90
Self-organized criticality as a fundamental property of neural systems. Front Syst Neurosci (2014) 0.90
Irregular spiking of pyramidal neurons organizes as scale-invariant neuronal avalanches in the awake state. Elife (2015) 0.87
Computing the Local Field Potential (LFP) from Integrate-and-Fire Network Models. PLoS Comput Biol (2015) 0.85
Self-organized criticality in cortical assemblies occurs in concurrent scale-free and small-world networks. Sci Rep (2015) 0.85
Network bursting dynamics in excitatory cortical neuron cultures results from the combination of different adaptive mechanisms. PLoS One (2013) 0.84
Criticality as a signature of healthy neural systems. Front Syst Neurosci (2015) 0.82
Hierarchical networks, power laws, and neuronal avalanches. Chaos (2013) 0.81
On the Character of Consciousness. Front Syst Neurosci (2016) 0.81
Scale-free functional connectivity of the brain is maintained in anesthetized healthy participants but not in patients with unresponsive wakefulness syndrome. PLoS One (2014) 0.80
Power law scaling in synchronization of brain signals depends on cognitive load. Front Syst Neurosci (2014) 0.80
Identification of Criticality in Neuronal Avalanches: I. A Theoretical Investigation of the Non-driven Case. J Math Neurosci (2013) 0.80
Dynamic systems approaches and levels of analysis in the nervous system. Front Physiol (2013) 0.79
Analysis of Power Laws, Shape Collapses, and Neural Complexity: New Techniques and MATLAB Support via the NCC Toolbox. Front Physiol (2016) 0.79
Statistical Evaluation of Waveform Collapse Reveals Scale-Free Properties of Neuronal Avalanches. Front Comput Neurosci (2016) 0.78
Statistical properties of sleep-wake behavior in the rat and their relation to circadian and ultradian phases. Sleep (2013) 0.76
Dynamical correlation patterns and corresponding community structure in neural spontaneous activity at criticality. Cogn Neurodyn (2013) 0.75
Spontaneous cortical activity is transiently poised close to criticality. PLoS Comput Biol (2017) 0.75
Quantitative evaluation of simulated functional brain networks in graph theoretical analysis. Neuroimage (2016) 0.75
Linking canonical microcircuits and neuronal activity: Dynamic Causal Modelling of Laminar Recordings. Neuroimage (2016) 0.75
Repertoire of mesoscopic cortical activity is not reduced during anesthesia. Neuroscience (2016) 0.75
Intrinsic noise induces critical behavior in leaky Markovian networks leading to avalanching. PLoS Comput Biol (2014) 0.75
Burst predicting neurons survive an in vitro glutamate injury model of cerebral ischemia. Sci Rep (2015) 0.75
Criticality Maximizes Complexity in Neural Tissue. Front Physiol (2016) 0.75
Spatiotemporal analysis of local field potentials and unit discharges in cat cerebral cortex during natural wake and sleep states. J Neurosci (1999) 3.64
Spontaneous cortical activity in awake monkeys composed of neuronal avalanches. Proc Natl Acad Sci U S A (2009) 3.48
Neuronal avalanches are diverse and precise activity patterns that are stable for many hours in cortical slice cultures. J Neurosci (2004) 3.22
Impact of network activities on neuronal properties in corticothalamic systems. J Neurophysiol (2001) 2.91
Model of low-pass filtering of local field potentials in brain tissue. Phys Rev E Stat Nonlin Soft Matter Phys (2006) 1.48
Phase transitions towards criticality in a neural system with adaptive interactions. Phys Rev Lett (2009) 1.32
Early-stage waves in the retinal network emerge close to a critical state transition between local and global functional connectivity. J Neurosci (2009) 1.31
The spikes trains probability distributions: a stochastic calculus approach. J Physiol Paris (2007) 0.96
Simulation of networks of spiking neurons: a review of tools and strategies. J Comput Neurosci (2007) 4.29
Inhibition determines membrane potential dynamics and controls action potential generation in awake and sleeping cat cortex. J Neurosci (2007) 1.99
Modeling extracellular field potentials and the frequency-filtering properties of extracellular space. Biophys J (2004) 1.80
A method to estimate synaptic conductances from membrane potential fluctuations. J Neurophysiol (2004) 1.79
Macroscopic models of local field potentials and the apparent 1/f noise in brain activity. Biophys J (2009) 1.54
Synaptic background activity controls spike transfer from thalamus to cortex. Nat Neurosci (2005) 1.52
Do neurons generate monopolar current sources? J Neurophysiol (2012) 1.44
Minimal Hodgkin-Huxley type models for different classes of cortical and thalamic neurons. Biol Cybern (2008) 1.39
Inhibition recruitment in prefrontal cortex during sleep spindles and gating of hippocampal inputs. Proc Natl Acad Sci U S A (2011) 1.28
Characterization of synaptic conductances and integrative properties during electrically induced EEG-activated states in neocortical neurons in vivo. J Neurophysiol (2005) 1.23
A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems. Biol Cybern (2011) 1.20
Avalanche Analysis from Multielectrode Ensemble Recordings in Cat, Monkey, and Human Cerebral Cortex during Wakefulness and Sleep. Front Physiol (2012) 1.18
Tuning neocortical pyramidal neurons between integrators and coincidence detectors. J Comput Neurosci (2003) 1.16
Network-state modulation of power-law frequency-scaling in visual cortical neurons. PLoS Comput Biol (2009) 1.11
Spatiotemporal dynamics of neocortical excitation and inhibition during human sleep. Proc Natl Acad Sci U S A (2012) 1.10
Evidence for frequency-dependent extracellular impedance from the transfer function between extracellular and intracellular potentials: intracellular-LFP transfer function. J Comput Neurosci (2010) 1.08
High-resolution intracellular recordings using a real-time computational model of the electrode. Neuron (2008) 1.05
A fast-conducting, stochastic integrative mode for neocortical neurons in vivo. J Neurosci (2003) 1.04
Hyperpolarization-activated graded persistent activity in the prefrontal cortex. Proc Natl Acad Sci U S A (2008) 1.03
Characterizing synaptic conductance fluctuations in cortical neurons and their influence on spike generation. J Neurosci Methods (2007) 1.02
A master equation formalism for macroscopic modeling of asynchronous irregular activity states. Neural Comput (2009) 0.96
Correlated input reveals coexisting coding schemes in a sensory cortex. Nat Neurosci (2012) 0.94
Generalized cable theory for neurons in complex and heterogeneous media. Phys Rev E Stat Nonlin Soft Matter Phys (2013) 0.94
Analytical integrate-and-fire neuron models with conductance-based dynamics for event-driven simulation strategies. Neural Comput (2006) 0.93
Generalized theory for current-source-density analysis in brain tissue. Phys Rev E Stat Nonlin Soft Matter Phys (2011) 0.92
Topologically invariant macroscopic statistics in balanced networks of conductance-based integrate-and-fire neurons. J Comput Neurosci (2011) 0.92
Comparative power spectral analysis of simultaneous elecroencephalographic and magnetoencephalographic recordings in humans suggests non-resistive extracellular media. J Comput Neurosci (2010) 0.91
Kinetic models of spike-timing dependent plasticity and their functional consequences in detecting correlations. Biol Cybern (2007) 0.91
Stable learning in stochastic network states. J Neurosci (2012) 0.90
State dependence of network output: modeling and experiments. J Neurosci (2008) 0.89
Activated cortical states: experiments, analyses and models. J Physiol Paris (2007) 0.88
Propagating waves in thalamus, cortex and the thalamocortical system: Experiments and models. J Physiol Paris (2012) 0.88
Oversampling method to extract excitatory and inhibitory conductances from single-trial membrane potential recordings. J Neurosci Methods (2011) 0.87
Analog-digital simulations of full conductance-based networks of spiking neurons with spike timing dependent plasticity. Network (2006) 0.84
Tunable neuromimetic integrated system for emulating cortical neuron models. Front Neurosci (2011) 0.83
Inferring network activity from synaptic noise. J Physiol Paris (2005) 0.82
Analytical integrate-and-fire neuron models with conductance-based dynamics and realistic postsynaptic potential time course for event-driven simulation strategies. Neural Comput (2012) 0.82
Characterizing neuronal activity by describing the membrane potential as a stochastic process. J Physiol Paris (2009) 0.81
Calculating event-triggered average synaptic conductances from the membrane potential. J Neurophysiol (2006) 0.81
Biophysical and phenomenological models of multiple spike interactions in spike-timing dependent plasticity. Int J Neural Syst (2006) 0.80
A modified cable formalism for modeling neuronal membranes at high frequencies. Biophys J (2007) 0.80
Comparison of different neuron models to conductance-based post-stimulus time histograms obtained in cortical pyramidal cells using dynamic-clamp in vitro. Biol Cybern (2011) 0.79
Modeling extracellular potentials. J Comput Neurosci (2010) 0.79
On the use of analytical expressions for the voltage distribution to analyze intracellular recordings. Neural Comput (2006) 0.78
Comparative power spectral analysis of simultaneous electroencephalographic and magnetoencephalographic recordings in humans suggests non-resistive extracellular media : EEG and MEG power spectra. J Comput Neurosci (2010) 0.78
Reply to Gratiy et al. J Neurophysiol (2013) 0.76
Methods for computational neuroscience. J Neurosci Methods (2008) 0.75