D Q Nykamp, D Tranchina. J Comput Neurosci 2000

**Times Cited: 121**Times Cited

Times Co-cited

Similarity

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

53

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

49

Asynchronous states in networks of pulse-coupled oscillators.

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

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

43

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

43

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

38

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

W Gerstner. Neural Comput 2000

W Gerstner. Neural Comput 2000

37

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

N Brunel. J Comput Neurosci 2000

N Brunel. J Comput Neurosci 2000

36

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

28

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

B W Knight. Neural Comput 2000

B W Knight. Neural Comput 2000

40

A population study of integrate-and-fire-or-burst neurons.

A R R Casti, A Omurtag, A Sornborger, E Kaplan, B Knight, J Victor, L Sirovich. Neural Comput 2002

A R R Casti, A Omurtag, A Sornborger, E Kaplan, B Knight, J Victor, L Sirovich. Neural Comput 2002

81

Population density methods for large-scale modelling of neuronal networks with realistic synaptic kinetics: cutting the dimension down to size.

E Haskell, D Q Nykamp, D Tranchina. Network 2001

E Haskell, D Q Nykamp, D Tranchina. Network 2001

52

The approach of a neuron population firing rate to a new equilibrium: an exact theoretical result.

B W Knight, A Omurtag, L Sirovich. Neural Comput 2000

B W Knight, A Omurtag, L Sirovich. Neural Comput 2000

51

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

21

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

20

A population density approach that facilitates large-scale modeling of neural networks: extension to slow inhibitory synapses.

D Q Nykamp, D Tranchina. Neural Comput 2001

D Q Nykamp, D Tranchina. Neural Comput 2001

55

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

20

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

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38

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

17

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

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

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17

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

17

A theoretical basis for large coefficient of variation and bimodality in neuronal interspike interval distributions.

W J Wilbur, J Rinzel. J Theor Biol 1983

W J Wilbur, J Rinzel. J Theor Biol 1983

18

The relationship between the firing rate of a single neuron and the level of activity in a population of neurons. Experimental evidence for resonant enhancement in the population response.

B W Knight. J Gen Physiol 1972

B W Knight. J Gen Physiol 1972

16

Population density methods for stochastic neurons with realistic synaptic kinetics: firing rate dynamics and fast computational methods.

Felix Apfaltrer, Cheng Ly, Daniel Tranchina. Network 2006

Felix Apfaltrer, Cheng Ly, Daniel Tranchina. Network 2006

50

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

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45

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

17

Effects of synaptic conductance on the voltage distribution and firing rate of spiking neurons.

Magnus J E Richardson. Phys Rev E Stat Nonlin Soft Matter Phys 2004

Magnus J E Richardson. Phys Rev E Stat Nonlin Soft Matter Phys 2004

19

Role of synaptic filtering on the firing response of simple model neurons.

Rubén Moreno-Bote, Néstor Parga. Phys Rev Lett 2004

Rubén Moreno-Bote, Néstor Parga. Phys Rev Lett 2004

23

Rate models for conductance-based cortical neuronal networks.

Oren Shriki, David Hansel, Haim Sompolinsky. Neural Comput 2003

Oren Shriki, David Hansel, Haim Sompolinsky. Neural Comput 2003

11

Neocortical pyramidal cells respond as integrate-and-fire neurons to in vivo-like input currents.

Alexander Rauch, Giancarlo La Camera, Hans-Rudolf Luscher, Walter Senn, Stefano Fusi. J Neurophysiol 2003

Alexander Rauch, Giancarlo La Camera, Hans-Rudolf Luscher, Walter Senn, Stefano Fusi. J Neurophysiol 2003

10

Dynamics of neuronal populations: eigenfunction theory; some solvable cases.

Lawrence Sirovich. Network 2003

Lawrence Sirovich. Network 2003

58

Membrane potential and response properties of populations of cortical neurons in the high conductance state.

Rubén Moreno-Bote, Néstor Parga. Phys Rev Lett 2005

Rubén Moreno-Bote, Néstor Parga. Phys Rev Lett 2005

38

Chaos in neuronal networks with balanced excitatory and inhibitory activity.

C van Vreeswijk, H Sompolinsky. Science 1996

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10

Efficient evaluation of neuron populations receiving colored-noise current based on a refractory density method.

Anton V Chizhov, Lyle J Graham. Phys Rev E Stat Nonlin Soft Matter Phys 2008

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37

A population approach to cortical dynamics with an application to orientation tuning.

A Omurtag, E Kaplan, B Knight, L Sirovich. Network 2000

A Omurtag, E Kaplan, B Knight, L Sirovich. Network 2000

60

Firing frequency of leaky intergrate-and-fire neurons with synaptic current dynamics.

N Brunel, S Sergi. J Theor Biol 1998

N Brunel, S Sergi. J Theor Biol 1998

9

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

9

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

Nicolas Brunel, Peter E Latham. Neural Comput 2003

Nicolas Brunel, Peter E Latham. Neural Comput 2003

12

A simple and stable numerical solution for the population density equation.

M de Kamps. Neural Comput 2003

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60

A multivariate population density model of the dLGN/PGN relay.

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75

Maximum-entropy closures for kinetic theories of neuronal network dynamics.

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36

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

Romain Brette, Wulfram Gerstner. J Neurophysiol 2005

Romain Brette, Wulfram Gerstner. J Neurophysiol 2005

9

Population model of hippocampal pyramidal neurons, linking a refractory density approach to conductance-based neurons.

Anton V Chizhov, Lyle J Graham. Phys Rev E Stat Nonlin Soft Matter Phys 2007

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34

Field-theoretic approach to fluctuation effects in neural networks.

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11

RANDOM WALK MODELS FOR THE SPIKE ACTIVITY OF A SINGLE NEURON.

G L GERSTEIN, B MANDELBROT. Biophys J 1964

G L GERSTEIN, B MANDELBROT. Biophys J 1964

8

Synaptic basis of cortical persistent activity: the importance of NMDA receptors to working memory.

X J Wang. J Neurosci 1999

X J Wang. J Neurosci 1999

8

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

8

A neuronal network model of macaque primary visual cortex (V1): orientation selectivity and dynamics in the input layer 4Calpha.

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D McLaughlin, R Shapley, M Shelley, D J Wielaard. Proc Natl Acad Sci U S A 2000

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.