- Inferring relevance in a changing worldRobert C Wilson
Department of Psychology, Neuroscience Institute, Princeton University Princeton, NJ, USA
Front Hum Neurosci 5:189. 2011..As a result the brain utilizes approximations, employing these even in simplified scenarios in which optimal representation learning is tractable, such as the one in our experiment...
- Orbitofrontal cortex as a cognitive map of task spaceRobert C Wilson
Department of Psychology and Neuroscience Institute, Princeton University, Princeton, NJ 08544, USA Electronic address
Neuron 81:267-79. 2014..In addition, we generate a number of testable experimental predictions that can distinguish our theory from other accounts of OFC function...
- A mixture of delta-rules approximation to bayesian inference in change-point problemsRobert C Wilson
Princeton Neuroscience Institute, Princeton University, Princeton, New Jersey, United States of America
PLoS Comput Biol 9:e1003150. 2013..This model represents an important conceptual advance in our understanding of how the brain can use relatively simple computations to make nearly optimal inferences in a dynamic world. ..
- Bayesian online learning of the hazard rate in change-point problemsRobert C Wilson
Department of Psychology, Princeton University, Princeton, NJ 08540, USA
Neural Comput 22:2452-76. 2010....