معرفی
Sukbin Lim is an Associate Professor of Neural Science at NYU Shanghai and a Global Network Associate Professor at New York University's Center for Neural Science. She holds a PhD in Mathematics from NYU and a BS from Seoul National University. Her research focuses on computational models of neuronal systems, particularly exploring working memory, synaptic plasticity, and neural circuit dynamics. She has contributed to understanding mechanisms underlying visual response dynamics, learning rules in cortical neurons, and noise tolerance in neural networks.
Lim's work spans theoretical neuroscience and experimental analysis, with publications in Nature Neuroscience, Journal of Neuroscience, and eLife. Her recent studies investigate sensory-memory interactions, decision biases in visual working memory, and unsupervised learning frameworks. She teaches courses on mathematical tools for life sciences and theoretical neuroscience at NYU.
Her research highlights include modeling corrective feedback control in spatial working memory and analyzing cerebellar granule neuron signaling during visuomotor tasks. Lim’s interdisciplinary approach bridges computational methods with experimental neurobiology to uncover fundamental principles of neural processing.
