| 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 | 1129 | 2010 |
| Neuropixels 2.0: A miniaturized high-density probe for stable, long-term brain recordings NA Steinmetz, C Aydin, A Lebedeva, M Okun, M Pachitariu, M Bauza, ... Science 372 (6539), eabf4588, 2021 | 618 | 2021 |
| Robust spatial working memory through homeostatic synaptic scaling in heterogeneous cortical networks A Renart, P Song, XJ Wang Neuron 38 (3), 473-485, 2003 | 285 | 2003 |
| Variability in neural activity and behavior A Renart, CK Machens Current opinion in neurobiology 25, 211-220, 2014 | 257 | 2014 |
| 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 | 176 | 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), 6177, 2015 | 175 | 2015 |
| 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 | 169 | 2007 |
| Response of spiking neurons to correlated inputs R Moreno, J de La Rocha, A Renart, N Parga Physical Review Letters 89 (28), 288101, 2002 | 113 | 2002 |
| Phasic activation of dorsal raphe serotonergic neurons increases pupil size F Cazettes, D Reato, JP Morais, A Renart, ZF Mainen Current Biology 31 (1), 192-197. e4, 2021 | 89 | 2021 |
| 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 | 74 | 2011 |
| Associative memory properties of multiple cortical modules A Renart, N Parga, ET Rolls Network: Computation in Neural Systems 10 (3), 237-255, 1999 | 62 | 1999 |
| The mechanistic foundation of Weber’s law JL Pardo-Vazquez, JR Castiñeiras-de Saa, M Valente, I Damião, T Costa, ... Nature neuroscience 22 (9), 1493-1502, 2019 | 61 | 2019 |
| 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 | 49 | 2008 |
| 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 | 44 | 2001 |
| Backward projections in the cerebral cortex: implications for memory storage A Renart, N Parga, ET Rolls Neural Computation 11 (6), 1349-1388, 1999 | 39 | 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 | 38 | 2003 |
| A recurrent model of the interaction between the prefrontal cortex and inferior temporal cortex in delay memory tasks A Renart Advances in neural information processing systems 12, 171-177, 2000 | 28 | 2000 |
| Transmission of population-coded information A Renart, MCW van Rossum Neural computation 24 (2), 391-407, 2012 | 21 | 2012 |
| Computation with populations codes in layered networks of integrate-and-fire neurons MCW van Rossum, A Renart Neurocomputing 58, 265-270, 2004 | 21 | 2004 |
| 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 | 21 | 2003 |
