W Gerstner. Neural Comput 2000

**Times Cited: 205**Times Cited

Times Co-cited

Similarity

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N Brunel. J Comput Neurosci 2000

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38

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

N Brunel, V Hakim. Neural Comput 1999

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35

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

35

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

22

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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21

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

20

Chaos in neuronal networks with balanced excitatory and inhibitory activity.

C van Vreeswijk, H Sompolinsky. Science 1996

C van Vreeswijk, H Sompolinsky. Science 1996

20

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

19

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

Population dynamics of interacting spiking neurons.

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

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18

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

18

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

16

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

15

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

15

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

15

Time structure of the activity in neural network models.

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

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14

A recurrent network mechanism of time integration in perceptual decisions.

Kong-Fatt Wong, Xiao-Jing Wang. J Neurosci 2006

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14

Spatio-temporal correlations and visual signalling in a complete neuronal population.

Jonathan W Pillow, Jonathon Shlens, Liam Paninski, Alexander Sher, Alan M Litke, E J Chichilnisky, Eero P Simoncelli. Nature 2008

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14

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

13

Firing-rate response of linear and nonlinear integrate-and-fire neurons to modulated current-based and conductance-based synaptic drive.

Magnus J E Richardson. Phys Rev E Stat Nonlin Soft Matter Phys 2007

Magnus J E Richardson. Phys Rev E Stat Nonlin Soft Matter Phys 2007

17

Transmission of noise coded versus additive signals through a neuronal ensemble.

B Lindner, L Schimansky-Geier. Phys Rev Lett 2001

B Lindner, L Schimansky-Geier. Phys Rev Lett 2001

12

Coding and decoding with adapting neurons: a population approach to the peri-stimulus time histogram.

Richard Naud, Wulfram Gerstner. PLoS Comput Biol 2012

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39

Towards a theory of cortical columns: From spiking neurons to interacting neural populations of finite size.

Tilo Schwalger, Moritz Deger, Wulfram Gerstner. PLoS Comput Biol 2017

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22

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

The cell-type specific cortical microcircuit: relating structure and activity in a full-scale spiking network model.

Tobias C Potjans, Markus Diesmann. Cereb Cortex 2014

Tobias C Potjans, Markus Diesmann. Cereb Cortex 2014

10

Correlation between neural spike trains increases with firing rate.

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

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9

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

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

33

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

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

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11

The dynamic brain: from spiking neurons to neural masses and cortical fields.

Gustavo Deco, Viktor K Jirsa, Peter A Robinson, Michael Breakspear, Karl Friston. PLoS Comput Biol 2008

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9

Fast propagation of firing rates through layered networks of noisy neurons.

Mark C W van Rossum, Gina G Turrigiano, Sacha B Nelson. J Neurosci 2002

Mark C W van Rossum, Gina G Turrigiano, Sacha B Nelson. J Neurosci 2002

8

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

11

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

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

8

Predicting spike timing of neocortical pyramidal neurons by simple threshold models.

Renaud Jolivet, Alexander Rauch, Hans-Rudolf Lüscher, Wulfram Gerstner. J Comput Neurosci 2006

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8

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

8

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

B W Knight. Neural Comput 2000

B W Knight. Neural Comput 2000

12

Action potential onset dynamics and the response speed of neuronal populations.

B Naundorf, T Geisel, F Wolf. J Comput Neurosci 2005

B Naundorf, T Geisel, F Wolf. J Comput Neurosci 2005

17

Dynamics of population rate codes in ensembles of neocortical neurons.

G Silberberg, M Bethge, H Markram, K Pawelzik, M Tsodyks. J Neurophysiol 2004

G Silberberg, M Bethge, H Markram, K Pawelzik, M Tsodyks. J Neurophysiol 2004

10

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

8

Noise in integrate-and-fire neurons: from stochastic input to escape rates.

H E Plesser, W Gerstner. Neural Comput 2000

H E Plesser, W Gerstner. Neural Comput 2000

11

Probabilistic decision making by slow reverberation in cortical circuits.

Xiao-Jing Wang. Neuron 2002

Xiao-Jing Wang. Neuron 2002

8

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

15

The excitatory neuronal network of the C2 barrel column in mouse primary somatosensory cortex.

Sandrine Lefort, Christian Tomm, J-C Floyd Sarria, Carl C H Petersen. Neuron 2009

Sandrine Lefort, Christian Tomm, J-C Floyd Sarria, Carl C H Petersen. Neuron 2009

8

Noise and the PSTH response to current transients: I. General theory and application to the integrate-and-fire neuron.

A Herrmann, W Gerstner. J Comput Neurosci 2001

A Herrmann, W Gerstner. J Comput Neurosci 2001

25

From spiking neuron models to linear-nonlinear models.

Srdjan Ostojic, Nicolas Brunel. PLoS Comput Biol 2011

Srdjan Ostojic, Nicolas Brunel. PLoS Comput Biol 2011

8

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

12

Temporal whitening by power-law adaptation in neocortical neurons.

Christian Pozzorini, Richard Naud, Skander Mensi, Wulfram Gerstner. Nat Neurosci 2013

Christian Pozzorini, Richard Naud, Skander Mensi, Wulfram Gerstner. Nat Neurosci 2013

8

Stable propagation of synchronous spiking in cortical neural networks.

M Diesmann, M O Gewaltig, A Aertsen. Nature 1999

M Diesmann, M O Gewaltig, A Aertsen. Nature 1999

7

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.