Sukbin Lim
Affiliations: | 2009 | Mathematics | New York University, New York, NY, United States |
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"Sukbin Lim"Mean distance: 14.58 (cluster 6) | S | N | B | C | P |
Parents
Sign in to add mentor| John Rinzel | grad student | 2009 | NYU | |
| (Noise -induced transitions in slow wave neuronal dynamics.) | ||||
| Mark S. Goldman | post-doc | UC Davis | ||
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Publications
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| Lim S. (2019) Mechanisms underlying sharpening of visual response dynamics with familiarity. Elife. 8 |
| Sylvester SJG, Lee MM, Ramirez AD, et al. (2017) Population-scale organization of cerebellar granule neuron signaling during a visuomotor behavior. Scientific Reports. 7: 16240 |
| Rubchinsky LL, Ahn S, Klijn W, et al. (2017) 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2 Bmc Neuroscience. 18 |
| Lim S, McKee JL, Woloszyn L, et al. (2015) Inferring learning rules from distributions of firing rates in cortical neurons. Nature Neuroscience |
| Lim S, Goldman MS. (2014) Balanced cortical microcircuitry for spatial working memory based on corrective feedback control. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 34: 6790-806 |
| Lim S, Goldman MS. (2013) Balanced cortical microcircuitry for maintaining information in working memory. Nature Neuroscience. 16: 1306-14 |
| Lim S, Goldman MS. (2012) Noise tolerance of attractor and feedforward memory models. Neural Computation. 24: 332-90 |
| Lim S, Goldman MS. (2012) Balanced cortical microcircuitry for maintaining short-term memory Bmc Neuroscience. 13 |
| Lim S, Rinzel J. (2010) Noise-induced transitions in slow wave neuronal dynamics. Journal of Computational Neuroscience. 28: 1-17 |