Jeroen Olieslagers

Ph.D. Student, New York University

Olieslagers is a NYU PhD student in Neuroscience with Alex Williams studying generalized shape metrics on neural data. We are particularly interested in how these metrics can be applied to stochastic networks and how they might eventually be used to study animal-to-animal variability. More broadly, Olieslagers is interested in how the brain represents uncertainty, how it can use this uncertainty in decision making and how this representation changes with learning. He holds a Master’s in Engineering from the University of Cambridge where I worked with Máté Lengyel, Daniel Wolpert and Yul Kang on active sensing in spatial navigation and landmark localization.

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