Sukbin Lim

Sukbin Lim is an Assistant Professor of Neural Science at NYU Shanghai and a Global Network Assistant Professor at NYU. Prior to joining NYU Shanghai, she was a postdoctoral researcher at University of California, Davis and University of Chicago. She holds a PhD from NYU and a BS from Seoul National University.

Professor Lim’s research interests are modeling and analysis of neuronal systems. Her work has appeared in Nature, Neuroscience and Journal of Neuroscience.

Recent Publications

• Lim S, Mechanisms underlying sharpening of visual response dynamics with familiarity, eLife 8, e44098 (2019)
• Lim S, McKee JL, Woloszyn L, Amit Y, Freedman DJ, Sheinberg DL, Brunel N, Inferring learning rules from distributions of firing rates in cortical neurons, Nature Neuroscience 18, 1804-1810 (2015)
• Lim S, Goldman MS, Balanced cortical microcircuitry for spatial working memory based on corrective feedback control, Journal of Neuroscience 34, 6790-6806 (2014) 
• Lim S, Goldman MS, Balanced cortical microcircuitry for maintaining information in working memory, Nature Neuroscience 16, 1306-1314 (2013) 
• S. Lim, M.S. Goldman, Noise tolerance of attractor and feedforward memory models, Neural Computation 24, 332-390 (2012)

Education

• PhD, Mathematics
  New York University