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]

LAB NEWS

April 2017: Congratulations to Angela Radulescu for being selected as one of the 2017-2018 Graduate Student Fellows in Cognitive Science!

April 2017: Congratulations to Angela Radulescu for her paper being chosen for an oral presentation at RLDM and VSS!

April 2017: Congratulations to Ming Bo Cai for his paper being chosen for an oral presentation at VSS!

March 2017: Congratulations to Sam Gershman on the acceptance of his paper The computational nature of memory modification to eLife!

March 2017: Congratulations to Melissa Sharpe on the acceptance of her paper Dopamine transients are sufficient and necessary for acquisition of model-based associations to Nature Neuroscience!

December 2016: Congratulations to Yuan Chang Leong and Angela Radulescu on the acceptance of their paper Dynamic interaction between reinforcement learning and attention in multidimensional environments to Neuron!

September 2016: Congratulations to Nico Schuck, Ming Bo Cai, Bob Wilson, and Yael Niv on their Neuron publication Human Orbitofrontal Cortex Represents a Cognitive Map of State Space - Nicolas W. Schuck, Ming Bo Cai, Robert C. Wilson, Yael Niv

September 2016: Congratulations to the whole Niv Lab on getting a new NIDA R01 grant to study representation learning in the OFC!!

August 2016: Congratulations to Ming Bo Cai on his NIPS publication! A Bayesian method for reducing bias in neural representational similarity analysis

August 2016: Congratulations to Kat Holmes for finishing 21st in the individual women's epee fencing and 5th in the team women's epee fencing at the Rio Olympics!

June 2016: We are happy to welcome Nicole Drummond to the Niv Lab!

June 2016: Congratulations to Angela Radulescu and Reka Daniel on the acceptance of the first aging paper from the lab to Psychology and Aging! This was a long time coming! The effects of aging on the interaction between reinforcement learning and attention - Angela Radulescu, Reka Daniel and Yael Niv

June 2016: Welcome to our cohort of summer interns: Jennifer Bu, JorDyne Jackson, Alana Jaskir, Andy Schilling and Yared Tamiru

June 2016: Congratulations to David and Angela for their awesome findings from dystonia patients finally being published in eLife! DYT1 dystonia increases risk taking in humans - David Arkadir, Angela Radulescu, et al.

May 2016: Congratulations to Gecia Bravo-Hermsdorff on her engagement to Lee Gunderson!

May 2016: Farewell Andra Geana, and good luck in Michael Frank's lab at Brown! We will miss you..

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)




Niv Lab     //    Department of Psychology    //    Princeton Neuroscience Institute


Designed by Angela Radulescu © 2012