The asynchronous state in cortical circuits A Renart, J De La Rocha, P Bartho, L Hollender, N Parga, A Reyes, ... science 327 (5965), 587-590, 2010 | 856 | 2010 |

Robust spatial working memory through homeostatic synaptic scaling in heterogeneous cortical networks A Renart, P Song, XJ Wang Neuron 38 (3), 473-485, 2003 | 225 | 2003 |

Variability in neural activity and behavior A Renart, CK Machens Current opinion in neurobiology 25, 211-220, 2014 | 146 | 2014 |

Mean-driven and fluctuation-driven persistent activity in recurrent networks A Renart, R Moreno-Bote, XJ Wang, N Parga Neural computation 19 (1), 1-46, 2007 | 143 | 2007 |

Mean-field theory of irregularly spiking neuronal populations and working memory in recurrent cortical networks A Renart, N Brunel, XJ Wang Computational neuroscience: A comprehensive approach, 431-490, 2004 | 137 | 2004 |

Sensory integration dynamics in a hierarchical network explains choice probabilities in cortical area MT K Wimmer, A Compte, A Roxin, D Peixoto, A Renart, J De La Rocha Nature communications 6 (1), 1-13, 2015 | 115 | 2015 |

Response of spiking neurons to correlated inputs R Moreno, J de La Rocha, A Renart, N Parga Physical Review Letters 89 (28), 288101, 2002 | 104 | 2002 |

How do neurons work together? Lessons from auditory cortex KD Harris, P Bartho, P Chadderton, C Curto, J de la Rocha, L Hollender, ... Hearing research 271 (1-2), 37-53, 2011 | 63 | 2011 |

Associative memory properties of multiple cortical modules A Renart, N Parga, ET Rolls Network: Computation in Neural Systems 10 (3), 237-255, 1999 | 53 | 1999 |

Theory of input spike auto-and cross-correlations and their effect on the response of spiking neurons R Moreno-Bote, A Renart, N Parga Neural computation 20 (7), 1651-1705, 2008 | 44 | 2008 |

Backward projections in the cerebral cortex: implications for memory storage A Renart, N Parga, ET Rolls Neural Computation 11 (6), 1349-1388, 1999 | 36 | 1999 |

Mean-field theory of recurrent cortical networks: from irregularly spiking neurons to working memory A Renart, N Brunel, XJ Wang Computational neuroscience: A comprehensive approach, 431-490, 2003 | 35 | 2003 |

A model of the IT-PF network in object working memory which includes balanced persistent activity and tuned inhibition A Renart, R Moreno, J de la Rocha, N Parga, ET Rolls Neurocomputing 38, 1525-1531, 2001 | 35 | 2001 |

A recurrent model of the interaction between Prefrontal and Inferotemporal cortex in delay tasks A Renart, N Parga, ET Rolls Advances in neural information processing systems, 171-177, 2000 | 23 | 2000 |

Computation with populations codes in layered networks of integrate-and-fire neurons MCW Van Rossum, A Renart Neurocomputing 58, 265-270, 2004 | 21 | 2004 |

A recurrent model of transformation invariance by association MCM Elliffe, ET Rolls, N Parga, A Renart Neural Networks 13 (2), 225-237, 2000 | 18 | 2000 |

The mechanistic foundation of Weber’s law JL Pardo-Vazquez, JR Castiņeiras-de Saa, M Valente, I Damião, T Costa, ... Nature neuroscience, 1-10, 2019 | 15 | 2019 |

Transmission of population-coded information A Renart, MCW van Rossum Neural computation 24 (2), 391-407, 2012 | 14 | 2012 |

Mean-field theory of recurrent cortical networks: working memory circuits with irregularly spiking neurons A Renart, N Brunel, XJ Wang Computational neuroscience: A comprehensive approach, 432-490, 2003 | 14 | 2003 |

A theoretical overview HC Tuckwell, J Feng Computational Neuroscience: A Comprehensive Approach, 1, 2003 | 6 | 2003 |