Abbott, van Vreeswijk C. Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics 1993

**Times Cited: 233**Times Cited

Times Co-cited

Similarity

Dynamics of sparsely connected networks of excitatory and inhibitory spiking neurons.

N Brunel. J Comput Neurosci 2000

N Brunel. J Comput Neurosci 2000

47

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

N Brunel, V Hakim. Neural Comput 1999

N Brunel, V Hakim. Neural Comput 1999

40

Excitatory and inhibitory interactions in localized populations of model neurons.

H R Wilson, J D Cowan. Biophys J 1972

H R Wilson, J D Cowan. Biophys J 1972

26

Partial synchronization in populations of pulse-coupled oscillators.

Vreeswijk. Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics 1996

Vreeswijk. Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics 1996

25

Chaos in neuronal networks with balanced excitatory and inhibitory activity.

C van Vreeswijk, H Sompolinsky. Science 1996

C van Vreeswijk, H Sompolinsky. Science 1996

24

A population density approach that facilitates large-scale modeling of neural networks: analysis and an application to orientation tuning.

D Q Nykamp, D Tranchina. J Comput Neurosci 2000

D Q Nykamp, D Tranchina. J Comput Neurosci 2000

19

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

Nicolas Fourcaud, Nicolas Brunel. Neural Comput 2002

Nicolas Fourcaud, Nicolas Brunel. Neural Comput 2002

19

Population dynamics of interacting spiking neurons.

Maurizio Mattia, Paolo Del Giudice. Phys Rev E Stat Nonlin Soft Matter Phys 2002

Maurizio Mattia, Paolo Del Giudice. Phys Rev E Stat Nonlin Soft Matter Phys 2002

17

When inhibition not excitation synchronizes neural firing.

C Van Vreeswijk, L F Abbott, G B Ermentrout. J Comput Neurosci 1994

C Van Vreeswijk, L F Abbott, G B Ermentrout. J Comput Neurosci 1994

17

Population dynamics of spiking neurons: fast transients, asynchronous states, and locking.

W Gerstner. Neural Comput 2000

W Gerstner. Neural Comput 2000

15

Model of global spontaneous activity and local structured activity during delay periods in the cerebral cortex.

D J Amit, N Brunel. Cereb Cortex 1997

D J Amit, N Brunel. Cereb Cortex 1997

15

The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs.

W R Softky, C Koch. J Neurosci 1993

W R Softky, C Koch. J Neurosci 1993

14

Stability of the splay state in pulse-coupled networks.

Rüdiger Zillmer, Roberto Livi, Antonio Politi, Alessandro Torcini. Phys Rev E Stat Nonlin Soft Matter Phys 2007

Rüdiger Zillmer, Roberto Livi, Antonio Politi, Alessandro Torcini. Phys Rev E Stat Nonlin Soft Matter Phys 2007

40

Critical analysis of dimension reduction by a moment closure method in a population density approach to neural network modeling.

Cheng Ly, Daniel Tranchina. Neural Comput 2007

Cheng Ly, Daniel Tranchina. Neural Comput 2007

39

Systematic fluctuation expansion for neural network activity equations.

Michael A Buice, Jack D Cowan, Carson C Chow. Neural Comput 2010

Michael A Buice, Jack D Cowan, Carson C Chow. Neural Comput 2010

20

On the simulation of large populations of neurons.

A Omurtag, B W Knight, L Sirovich. J Comput Neurosci 2000

A Omurtag, B W Knight, L Sirovich. J Comput Neurosci 2000

13

An effective kinetic representation of fluctuation-driven neuronal networks with application to simple and complex cells in visual cortex.

David Cai, Louis Tao, Michael Shelley, David W McLaughlin. Proc Natl Acad Sci U S A 2004

David Cai, Louis Tao, Michael Shelley, David W McLaughlin. Proc Natl Acad Sci U S A 2004

23

Time structure of the activity in neural network models.

Gerstner. Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics 1995

Gerstner. Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics 1995

12

What determines the frequency of fast network oscillations with irregular neural discharges? I. Synaptic dynamics and excitation-inhibition balance.

Nicolas Brunel, Xiao-Jing Wang. J Neurophysiol 2003

Nicolas Brunel, Xiao-Jing Wang. J Neurophysiol 2003

12

The asynchronous state in cortical circuits.

Alfonso Renart, Jaime de la Rocha, Peter Bartho, Liad Hollender, Néstor Parga, Alex Reyes, Kenneth D Harris. Science 2010

Alfonso Renart, Jaime de la Rocha, Peter Bartho, Liad Hollender, Néstor Parga, Alex Reyes, Kenneth D Harris. Science 2010

12

Two types of asynchronous activity in networks of excitatory and inhibitory spiking neurons.

Srdjan Ostojic. Nat Neurosci 2014

Srdjan Ostojic. Nat Neurosci 2014

12

A mathematical theory of the functional dynamics of cortical and thalamic nervous tissue.

H R Wilson, J D Cowan. Kybernetik 1973

H R Wilson, J D Cowan. Kybernetik 1973

11

Field-theoretic approach to fluctuation effects in neural networks.

Michael A Buice, Jack D Cowan. Phys Rev E Stat Nonlin Soft Matter Phys 2007

Michael A Buice, Jack D Cowan. Phys Rev E Stat Nonlin Soft Matter Phys 2007

14

How spike generation mechanisms determine the neuronal response to fluctuating inputs.

Nicolas Fourcaud-Trocmé, David Hansel, Carl van Vreeswijk, Nicolas Brunel. J Neurosci 2003

Nicolas Fourcaud-Trocmé, David Hansel, Carl van Vreeswijk, Nicolas Brunel. J Neurosci 2003

11

A review of the integrate-and-fire neuron model: I. Homogeneous synaptic input.

A N Burkitt. Biol Cybern 2006

A N Burkitt. Biol Cybern 2006

11

Slow dynamics and high variability in balanced cortical networks with clustered connections.

Ashok Litwin-Kumar, Brent Doiron. Nat Neurosci 2012

Ashok Litwin-Kumar, Brent Doiron. Nat Neurosci 2012

11

Chaotic balanced state in a model of cortical circuits.

C van Vreeswijk, H Sompolinsky. Neural Comput 1998

C van Vreeswijk, H Sompolinsky. Neural Comput 1998

10

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

S Fusi, M Mattia. Neural Comput 1999

S Fusi, M Mattia. Neural Comput 1999

12

How noise affects the synchronization properties of recurrent networks of inhibitory neurons.

Nicolas Brunel, David Hansel. Neural Comput 2006

Nicolas Brunel, David Hansel. Neural Comput 2006

13

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

Sami El Boustani, Alain Destexhe. Neural Comput 2009

Sami El Boustani, Alain Destexhe. Neural Comput 2009

18

A quantitative description of membrane current and its application to conduction and excitation in nerve.

A L HODGKIN, A F HUXLEY. J Physiol 1952

A L HODGKIN, A F HUXLEY. J Physiol 1952

10

The high-conductance state of neocortical neurons in vivo.

Alain Destexhe, Michael Rudolph, Denis Paré. Nat Rev Neurosci 2003

Alain Destexhe, Michael Rudolph, Denis Paré. Nat Rev Neurosci 2003

10

Effects of synaptic noise and filtering on the frequency response of spiking neurons.

N Brunel, F S Chance, N Fourcaud, L F Abbott. Phys Rev Lett 2001

N Brunel, F S Chance, N Fourcaud, L F Abbott. Phys Rev Lett 2001

10

10

The variable discharge of cortical neurons: implications for connectivity, computation, and information coding.

M N Shadlen, W T Newsome. J Neurosci 1998

M N Shadlen, W T Newsome. J Neurosci 1998

10

Dynamics of encoding in neuron populations: some general mathematical features.

B W Knight. Neural Comput 2000

B W Knight. Neural Comput 2000

15

Correlations, fluctuations, and stability of a finite-size network of coupled oscillators.

Michael A Buice, Carson C Chow. Phys Rev E Stat Nonlin Soft Matter Phys 2007

Michael A Buice, Carson C Chow. Phys Rev E Stat Nonlin Soft Matter Phys 2007

28

From spiking neuron models to linear-nonlinear models.

Srdjan Ostojic, Nicolas Brunel. PLoS Comput Biol 2011

Srdjan Ostojic, Nicolas Brunel. PLoS Comput Biol 2011

9

8

The number of synaptic inputs and the synchrony of large, sparse neuronal networks.

D Golomb, D Hansel. Neural Comput 2000

D Golomb, D Hansel. Neural Comput 2000

8

Desynchronization in diluted neural networks.

Rüdiger Zillmer, Roberto Livi, Antonio Politi, Alessandro Torcini. Phys Rev E Stat Nonlin Soft Matter Phys 2006

Rüdiger Zillmer, Roberto Livi, Antonio Politi, Alessandro Torcini. Phys Rev E Stat Nonlin Soft Matter Phys 2006

16

Correlation between neural spike trains increases with firing rate.

Jaime de la Rocha, Brent Doiron, Eric Shea-Brown, Kresimir Josić, Alex Reyes. Nature 2007

Jaime de la Rocha, Brent Doiron, Eric Shea-Brown, Kresimir Josić, Alex Reyes. Nature 2007

8

A constructive mean-field analysis of multi-population neural networks with random synaptic weights and stochastic inputs.

Olivier Faugeras, Jonathan Touboul, Bruno Cessac. Front Comput Neurosci 2009

Olivier Faugeras, Jonathan Touboul, Bruno Cessac. Front Comput Neurosci 2009

13

A review of the integrate-and-fire neuron model: II. Inhomogeneous synaptic input and network properties.

A N Burkitt. Biol Cybern 2006

A N Burkitt. Biol Cybern 2006

8

Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.