(* Equal author contribution)
YC Leong*, A Radulescu*, R Daniel, V DeWoskin, & Y Niv (2017). Dynamic interaction between reinforcement learning and attention in multidimensional environments. Neuron.
[Link] [PDF] [Preview] [Press Release]
J Chen*, YC Leong*, CJ Honey, CH Yong, KA Norman & U Hasson (2017). Shared memories reveal shared structure in neural activity across individuals. Nature Neuroscience.
[Link] [PDF] [News & Views] [The Atlantic]
A Zadbood, J Chen, YC Leong, KA Norman, & U Hasson (2017). How we transmit memories to other brains: Constructing shared neural representations via communication. Cerebral Cortex.
[Link (Open Access)]
Y Niv, R Daniel, A Geana, SJ Gershman, YC Leong, A Radulescu & RC Wilson (2015). Reinforcement learning in multidimensional environments relies on attention mechanisms.The Journal of Neuroscience.
[Link] [PDF] [J. Neuro JC]
N Velez*, YC Leong*, C Pan, J Zaki, & H Gweon (2016). Learning and making novel predictions about others’ preferences. Proceedings of the 37th Annual Conference of the Cognitive Science Society. [PDF]
YC Leong & Y Niv (2013). Human reinforcement learning processes act on learned attentionally-filtered representations of the world. Extended abstract at the 1st Multidisciplinary Conference on Reinforcement Learning and Decision Making. [PDF]
R Daniel, V DeWoskin, YC Leong, A Radulescu & Y Niv (2013) Humans employ selective attention when learning in complex environments: evidence from computational modeling and neuroimaging. Extended abstract at The 1st Multidisciplinary Conference on Reinforcement Learning and Decision Making.Invited and Conference Talks (Selected)
Neurocomputational mechanisms underlying motivation influences in perceptual decision-making (2018). Organization of Human Brain Mapping Annual Meeting, Singapore. [Slides]
Neural detection of socially valued community members (2017). Society for Neuroscience Annual Meeting, DC. [Slides]
Inflated perception of expertise: A computational account (2017). Society for Personality and Social Psychology Annual Meeting, San Antonio, TX. [Slides]
A primer to computational modeling in psychology and neuroscience (2016). Stanford Undergraduate Psychology Research Conference, Stanford, CA. [Slides]
Dynamic interaction between reinforcement learning and attention in multidimensional environments (2015). Annual Interdisciplinary Symposium on Decision Neuroscience, Boston, MA. [Slides]
Learning what’s relevant in a largely irrelevant world (2013). Barbados Workshop in Reinforcement Learning: Planning in Reinforcement Learning, Holetown, Barbados. [Slides]Posters (Selected)
YC Leong, B Hughes, Y Wang & J Zaki (2018). Neurocomputational mechanisms underlying motivation influences in perceptual decision-making. Organization of Human Brain Mapping Annual Meeting, Singapore. [PDF]
YC Leong, S Morelli, R Carlson, M Kullar & J Zaki (2017) Neural Prediction of Social Support Hubs in Emerging Social Networks Society for Affective Neuroscience Annual Meeting, Los Angeles, CA. [PDF]
YC Leong & J Zaki (2016). Excessive optimism when evaluating and following advice.Society of Personality and Social Psychology Annual Meeting, San Diego, CA. [PDF]
YC Leong, A Radulescu, R Daniel & Y Niv (2015). Computation and update of neural value signals are biased by attention in a multidimensional decision-making task. Cognitive Neuroscience Society Annual Meeting, San Francisco, CA. [PDF]
Y Leong & Y Niv (2012). The role of selective attention in learning. Society for Neuroscience Annual Meeting, New Orleans, LA. [PDF]