Julia Steinberg

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Julia Steinberg received her PhD in physics from Harvard University in 2020, where she studied the dynamical properties of quantum phases of matter with strong electron correlations. Until March 2023 she was a fellow at the Princeton University Center for the Physics of Biological Function. For the past few years, Steinberg has worked on problems in computational neuroscience, where her research explored how neural networks can robustly learn, represent, and store structured knowledge in a way that is amenable to higher cognitive tasks and that persists throughout transformations and reorganizations of these neural circuits over time.


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Performance Capacity of a Complex Neural Network

A new theory allows researchers to determine the ability of arbitrarily complex neural networks to perform recognition tasks on data with intricate structure. Read More »