Research in the Niv lab focuses on the neural and computational processes underlying reinforcement learning and decision-making. We study the ongoing day-to-day processes by which we learn from trial and error, without explicit instructions, to predict future events and to act upon the environment so as to maximize reward and minimize punishment. In particular, we are interested in how attention and memory processes interact with reinforcement learning to create representations that allows us to learn to solve new tasks so efficiently. [read more]
May 2016: Congratulations to Stephanie Chan for her paper being accepted to the Journal of Neuroscience! A probability distribution over latent causes in the orbitofrontal cortex - Stephanie CY Chan, Yael Niv, Kenneth A Norman
May 2016: Congratulations to Gecia Bravo-Hermsdorff for being selected as one of the 2016-2017 Graduate Student Fellows in Cognitive Science!
May 2016: Congratulations to Angela Langdon for her paper being accepted to Neuron! Temporal specificity of reward prediction errors signaled by putative dopamine neurons in rat VTA depends on ventral striatum - Yuji K. Takahashi*, Angela J. Langdon*, Yael Niv and Geoffrey Schoenbaum (* = equally contributing authors)
March 2016: Congratulaitons to Nico Sschuck on being offered a junior faculty position at the Max Planck Institute!
March 2016: Congratulaitons to Kat Holmes on qualifying for both the women's epee individual and team events at the 2016 Olympic Games in Rio de Janeiro, Brazil!
July 2015: Podcast featuring Dr. Yael Niv – Trial and Error Learning with Dr. Yael Niv
July 2015: Congratulaitons to Kat Holmes for winning the gold medal in both the individual and team women's epee fencing events at the Pan Am Games in Toronto, Canada!
June 2015: Congratulations to Dr. Andra Geana for graduating and transitioning to a postdoc position in the lab!
June 2015: Welcome to Yeon Soon Shin, new graduate student in the Niv and Norman labs!
|Niv Lab // Department of Psychology // Princeton Neuroscience Institute|
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