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Liam Paninski is an American neuroscientist known for his work on statistical methods in neuroscience, particularly in the areas of computational neuroscience, neuronal modeling, and the analysis of large-scale neural data. His research often focuses on understanding the dynamics of neural networks and how neurons encode information. Paninski has contributed to developing statistical techniques that help interpret complex neural data, such as spike train analysis and dimensionality reduction.