Our lab focuses on theoretical and computational neuroscience. We investigate the fundamental principles underlying brain function, from sensing the environment to forming memories and making decisions. Since evolution and learning continuously shape the brain to optimize behavior, we view optimization as a powerful lens for uncovering these principles. Our theories generate normative predictions about how information is represented and processed in neural networks to support adaptive behavior across diverse environments. We integrate these theories with biophysically grounded models and neural data, aiming to build unified frameworks that bridge computational, algorithmic, and implementational levels. Ultimately, understanding the principles of neural coding is essential for gaining insight into brain dysfunction in disease. 

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