Robert Yang is interested in building neural network and circuit models of brain functions. He has contributed to the modern use of recurrent neural networks as a modeling tool in neuroscience. His work has shed light on neural mechanisms for cognitive flexibility. The Yang lab focuses on building multi-scale, multi-system integrative models of higher cognitive functions.
Searle Scholar, 2022-2025
Junior Fellow, Simons Society of Fellows, 2018-2021
Dean’s Outstanding Dissertation Award in the Sciences, New York University, 2018
Samuel J. and Joan B. Williamson Fellowship, New York University, 2016
MacCracken Fellowship, New York University, 2013-2016
Benz Scholarship, Peking University, 2011
National Scholarship of China, 2010
A computer model can teach itself to smell in just a few minutes. When it does, Robert Yang found, it builds a neural network that closely mimics the olfactory circuits that animal brains use to process odors.
Yang, GR, Molano-Mazón, M. Towards the next generation of recurrent network models for cognitive neuroscience. Curr Opin Neurobiol. 2021;70 :182-192. doi: 10.1016/j.conb.2021.10.015. PubMed PMID:34844122 .