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Contributed Talk #1: Learning multi-dimensional rules with probabilistic feedback via value-based serial hypothesis testing
Mingyu Song · Ming Bo Cai · Yael Niv

Sat Dec 12 06:16 AM -- 06:30 AM (PST) @
in Biological and Artificial Reinforcement Learning »

Author Information

Mingyu Song (Princeton University)
Ming Bo Cai (University of Toyko)
Yael Niv (Princeton University)

Yael Niv received her MA in psychobiology from Tel Aviv University and her PhD from the Hebrew University in Jerusalem, having conducted a major part of her thesis research at the Gatsby Computational Neuroscience Unit in UCL. After a short postdoc at Princeton she became faculty at the Psychology Department and the Princeton Neuroscience Institute. Her lab's research focuses on the neural and computational processes underlying reinforcement learning and decision-making in humans and animals, with a particular focus on representation learning. She recently co-founded the Rutgers-Princeton Center for Computational Cognitive Neuropsychiatry, and is currently taking the research in her lab in the direction of computational psychiatry.

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