Alfonso Renart
Alfonso Renart
Group Leader, Champalimaud Neuroscience Programme, Lisbon, Portugal
Verified email at
Cited by
Cited by
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
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
Robust spatial working memory through homeostatic synaptic scaling in heterogeneous cortical networks
A Renart, P Song, XJ Wang
Neuron 38 (3), 473-485, 2003
Variability in neural activity and behavior
A Renart, CK Machens
Current opinion in neurobiology 25, 211-220, 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
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
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
Response of spiking neurons to correlated inputs
R Moreno, J de La Rocha, A Renart, N Parga
Physical Review Letters 89 (28), 288101, 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
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
The mechanistic foundation of Weber’s law
JL Pardo-Vazquez, JR Castiņeiras-de Saa, M Valente, I Damião, T Costa, ...
Nature neuroscience 22 (9), 1493-1502, 2019
Associative memory properties of multiple cortical modules
A Renart, N Parga, ET Rolls
Network: Computation in Neural Systems 10 (3), 237-255, 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
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
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
Backward projections in the cerebral cortex: implications for memory storage
A Renart, N Parga, ET Rolls
Neural Computation 11 (6), 1349-1388, 1999
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
Transmission of population-coded information
A Renart, MCW van Rossum
Neural computation 24 (2), 391-407, 2012
Computation with populations codes in layered networks of integrate-and-fire neurons
MCW van Rossum, A Renart
Neurocomputing 58, 265-270, 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
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