معرفی
Joshua I. Gold is a Professor of Neuroscience at the Perelman School of Medicine, University of Pennsylvania, where he co-directs the Computational Neuroscience Initiative. His research focuses on the neural mechanisms underlying inference and learning in decision-making, integrating computational modeling with human and non-human primate studies.
- Education: Sc.B. in Neural Sciences from Brown University (1991), Ph.D. in Neurosciences from Stanford University (1997)
- Grants: NIH R01 EY015260, NIH F31 MH093099, NIH F21 MH093099
Gold's work explores how uncertainty, contextual information, and neural computations shape adaptive behavior. His lab employs psychophysics, electrophysiology, and pupillometry to study decision-making in dynamic environments. Recent publications highlight Bayesian inference, dual anticipatory processes, and neural correlates of reward prediction.
Scientific Contributions:
- Developed computational models for learning rate regulation
- Investigated subthalamic nucleus and caudate nucleus roles in decision-making
- Linked noradrenergic systems to adaptive learning
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