Carina Curto

Mathematics University of Nebraska, Lincoln, NE, United States 
"Carina Curto"
Mean distance: 14.88 (cluster 17)
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Curto C, Gross E, Jeffries J, et al. (2019) Algebraic signatures of convex and non-convex codes. Journal of Pure and Applied Algebra. 223: 3919-3940
Curto C, Morrison K. (2019) Relating network connectivity to dynamics: opportunities and challenges for theoretical neuroscience. Current Opinion in Neurobiology. 58: 11-20
Curto C, Geneson J, Morrison K. (2018) Fixed Points of Competitive Threshold-Linear Networks. Neural Computation. 1-62
Curto C, Morrison K. (2016) Pattern Completion in Symmetric Threshold-Linear Networks. Neural Computation. 1-27
Thoreson WB, Van Hook MJ, Parmelee C, et al. (2015) Modeling and measurement of vesicle pools at the cone ribbon synapse: Changes in release probability are solely responsible for voltage-dependent changes in release. Synapse (New York, N.Y.)
Giusti C, Pastalkova E, Curto C, et al. (2015) Clique topology reveals intrinsic geometric structure in neural correlations. Proceedings of the National Academy of Sciences of the United States of America. 112: 13455-60
Van Hook MJ, Parmelee CM, Chen M, et al. (2014) Calmodulin enhances ribbon replenishment and shapes filtering of synaptic transmission by cone photoreceptors. The Journal of General Physiology. 144: 357-78
Curto C, Degeratu A, Itskov V. (2013) Encoding binary neural codes in networks of threshold-linear neurons. Neural Computation. 25: 2858-903
Curto C, Itskov V, Veliz-Cuba A, et al. (2013) The neural ring: an algebraic tool for analyzing the intrinsic structure of neural codes. Bulletin of Mathematical Biology. 75: 1571-611
Curto C, Itskov V, Morrison K, et al. (2013) Combinatorial neural codes from a mathematical coding theory perspective. Neural Computation. 25: 1891-925
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