Alfonso Renart - Publications

CMBN Rutgers University, New Brunswick, New Brunswick, NJ, United States 

25 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2023 Reato D, Steinfeld R, Tacão-Monteiro A, Renart A. Response outcome gates the effect of spontaneous cortical state fluctuations on perceptual decisions. Elife. 12. PMID 37195029 DOI: 10.7554/eLife.81774  0.787
2021 Steinmetz NA, Aydin C, Lebedeva A, Okun M, Pachitariu M, Bauza M, Beau M, Bhagat J, Böhm C, Broux M, Chen S, Colonell J, Gardner RJ, Karsh B, Kloosterman F, ... ... Renart A, et al. Neuropixels 2.0: A miniaturized high-density probe for stable, long-term brain recordings. Science (New York, N.Y.). 372. PMID 33859006 DOI: 10.1126/science.abf4588  0.749
2020 Cazettes F, Reato D, Morais JP, Renart A, Mainen ZF. Phasic Activation of Dorsal Raphe Serotonergic Neurons Increases Pupil Size. Current Biology : Cb. PMID 33186549 DOI: 10.1016/j.cub.2020.09.090  0.742
2019 Pardo-Vazquez JL, Castiñeiras-de Saa JR, Valente M, Damião I, Costa T, Vicente MI, Mendonça AG, Mainen ZF, Renart A. The mechanistic foundation of Weber's law. Nature Neuroscience. PMID 31406366 DOI: 10.1038/S41593-019-0439-7  0.366
2019 Kobak D, Pardo-Vazquez JL, Valente M, Machens CK, Renart A. State-dependent geometry of population activity in rat auditory cortex. Elife. 8. PMID 30969167 DOI: 10.7554/Elife.44526  0.427
2019 Kobak D, Pardo-Vazquez JL, Valente M, Machens CK, Renart A. Author response: State-dependent geometry of population activity in rat auditory cortex Elife. DOI: 10.7554/Elife.44526.022  0.426
2015 Wimmer K, Compte A, Roxin A, Peixoto D, Renart A, de la Rocha J. Sensory integration dynamics in a hierarchical network explains choice probabilities in cortical area MT. Nature Communications. 6: 6177. PMID 25649611 DOI: 10.1038/Ncomms7177  0.769
2014 Renart A. Bringing the dynamics of movement under control. Neuron. 82: 1193-5. PMID 24945762 DOI: 10.1016/J.Neuron.2014.06.002  0.362
2013 Renart A. Recurrent networks learn to tell time. Nature Neuroscience. 16: 772-4. PMID 23799465 DOI: 10.1038/Nn.3441  0.346
2012 Renart A, van Rossum MC. Transmission of population-coded information. Neural Computation. 24: 391-407. PMID 22023200 DOI: 10.1162/Neco_A_00227  0.448
2011 Harris KD, Bartho P, Chadderton P, Curto C, de la Rocha J, Hollender L, Itskov V, Luczak A, Marguet SL, Renart A, Sakata S. How do neurons work together? Lessons from auditory cortex. Hearing Research. 271: 37-53. PMID 20603208 DOI: 10.1016/J.Heares.2010.06.006  0.646
2011 Manrique J, Renart A, de la Rocha J, Parga N. Scaling of temporal correlations in densely connected networks of LIF neurons Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P249  0.713
2010 Renart A, de la Rocha J, Bartho P, Hollender L, Parga N, Reyes A, Harris KD. The asynchronous state in cortical circuits. Science (New York, N.Y.). 327: 587-90. PMID 20110507 DOI: 10.1126/Science.1179850  0.749
2008 Moreno-Bote R, Renart A, Parga N. Theory of input spike auto- and cross-correlations and their effect on the response of spiking neurons. Neural Computation. 20: 1651-705. PMID 18254697 DOI: 10.1162/Neco.2008.03-07-497  0.812
2007 Renart A, Moreno-Bote R, Wang XJ, Parga N. Mean-driven and fluctuation-driven persistent activity in recurrent networks. Neural Computation. 19: 1-46. PMID 17134316 DOI: 10.1162/Neco.2007.19.1.1  0.824
2004 van Rossum MCW, Renart A. Computation with populations codes in layered networks of integrate-and-fire neurons Neurocomputing. 58: 265-270. DOI: 10.1016/J.Neucom.2004.01.054  0.406
2003 Renart A, Song P, Wang XJ. Robust spatial working memory through homeostatic synaptic scaling in heterogeneous cortical networks. Neuron. 38: 473-85. PMID 12741993 DOI: 10.1016/S0896-6273(03)00255-1  0.684
2002 Moreno R, de la Rocha J, Renart A, Parga N. Response of spiking neurons to correlated inputs. Physical Review Letters. 89: 288101. PMID 12513181 DOI: 10.1103/Physrevlett.89.288101  0.706
2002 Moreno R, De La Rocha J, Renart A, Parga N. Response of spiking neurons to correlated inputs Physical Review Letters. 89: 288101/1-288101/4.  0.779
2001 Renart A, Moreno R, De la Rocha J, Parga N, Rolls ET. A model of the IT-PF network in object working memory which includes balanced persistent activity and tuned inhibition Neurocomputing. 38: 1525-1531. DOI: 10.1016/S0925-2312(01)00548-3  0.769
2000 Elliffe MC, Rolls ET, Parga N, Renart A. A recurrent model of transformation invariance by association. Neural Networks : the Official Journal of the International Neural Network Society. 13: 225-37. PMID 10935762 DOI: 10.1016/S0893-6080(99)00096-9  0.604
2000 Renart A, Parga N, Rolls ET. A recurrent model of the interaction between Prefrontal and Inferotemporal cortex in delay tasks Advances in Neural Information Processing Systems. 171-177.  0.581
1999 Renart A, Parga N, Rolls ET. Associative memory properties of multiple cortical modules. Network (Bristol, England). 10: 237-55. PMID 10496475 DOI: 10.1088/0954-898X_10_3_303  0.721
1999 Renart A, Parga N, Rolls ET. Backward projections in the cerebral cortex: implications for memory storage. Neural Computation. 11: 1349-88. PMID 10423499 DOI: 10.1162/089976699300016278  0.665
1999 Renart A, Parga N, Rolls ET. Connected cortical recurrent networks Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1606: 163-170. DOI: 10.1007/Bfb0098170  0.671
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