Friedrich Schüßler
Photo: SCIoI
Friedrich Schuessler is a physicist and computational neuroscientist interested in neural networks, learning, and animal behavior.
He joined SCIoI in June 2022 to work as a postdoctoral researcher.
Friedrich studied Physics at the University of Freiburg, where he investigated spiking neural networks under the supervision of Stefan Rotter. He subsequently moved to Israel to complete his PhD in the laboratory of Omri Barak at the Technion. His doctoral research focused on the interplay between randomness and structure in recurrent neural networks during learning.
At SCIoI, Friedrich works on Project 40, “Big Mouse Data,” investigating mouse behavior in semi-natural environments to develop a more mouse-centered understanding of behavior and design behaviorally relevant tasks. As part of Henning Sprekeler’s group, he also investigates learning using artificial neural networks as model systems.
Outside research, Friedrich enjoys hiking, biking, and swing dancing.
Projects
Friedrich Schüßler is member of:
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Boon, M. N., Andresen, N., Traverso, S., Meier, S., Schuessler, F., Hellwich, O., Lewejohann, L., Thöne-Reineke, C., Hohlbaum, K., & Sprekeler, H. (2026). Mechanical problem solving in mice Poster [Poster]. Computational and Systems Neuroscience (COSYNE) 2026.
Boon, M. N., Andresen, N., Traverso, S., Meier, S., Schuessler, F., Hellwich, O., Lewejohann, L., Thöne-Reineke, C., Sprekeler, H., & Hohlbaum, K. (2024). Mechanical problem solving in mice. Animal Behavior and Cognition. https://doi.org/10.1101/2024.07.29.605658
