Alfonso Renart - Publications

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

19 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
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  0.96
2014 Renart A. Bringing the dynamics of movement under control. Neuron. 82: 1193-5. PMID 24945762 DOI: 10.1016/j.neuron.2014.06.002  0.96
2014 Renart A, Machens CK. Variability in neural activity and behavior. Current Opinion in Neurobiology. 25: 211-20. PMID 24632334 DOI: 10.1016/j.conb.2014.02.013  0.96
2013 Renart A. Recurrent networks learn to tell time. Nature Neuroscience. 16: 772-4. PMID 23799465 DOI: 10.1038/nn.3441  0.96
2012 Renart A, van Rossum MC. Transmission of population-coded information. Neural Computation. 24: 391-407. PMID 22023200 DOI: 10.1162/NECO_a_00227  0.96
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  0.96
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  0.96
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  0.96
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  0.96
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  0.96
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  0.96
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  0.96
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.  0.96
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  0.96
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  0.96
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.  0.96
1999 Renart A, Parga N, Rolls ET. Associative memory properties of multiple cortical modules. Network (Bristol, England). 10: 237-55. PMID 10496475  0.96
1999 Renart A, Parga N, Rolls ET. Backward projections in the cerebral cortex: implications for memory storage. Neural Computation. 11: 1349-88. PMID 10423499  0.96
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  0.96
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