Dr. Lisa Schmors

Lisa Schmors
Lisa Schmors is interested in the potential synergies between neuroscience and machine learning (NeuroAI). She received her Ph.D. from the University of Tübingen and the International Max Planck Research School for Intelligent Systems (IMPRS-IS). She investigates response patterns of single neurons and their populations using statistical models, as well as identifying structure in neuroscience data using machine learning algorithms.
I am interested in the fundamental principles of neural coding in larger networks and neural populations.
01
Schmors, L., Gonschorek, D., Böhm, J. N., Qiu, Y., Zhou, N., Kobak, D., ... & Berens, P.

TRACE: Contrastive learning for multi-trial time-series data in neuroscience.

Dec 03, 2025 | NeurIPS 2025
02
Zouridis, I. S., Schmors, L., Lecca, S., Congiu, M., Mameli, M., Berens, P., ... & Burgalossi, A.

Aversion Encoding and Behavioral State Modulation of Physiologically Defined Cell Types in the Lateral Habenula.

Nov 24, 2025 | European Journal of Neuroscience
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Schmors, L., Kotkat, A. H., Bauer, Y., Huang, Z., Crombie, D., Meyerolbersleben, L. S., ... & Busse, L.

Effects of corticothalamic feedback depend on visual responsiveness and stimulus type.

Jun 20, 2025 | iScience, 28(6)
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Zouridis, I. S., Schmors, L., Fischer, K. M., Berens, P., Preston-Ferrer, P., & Burgalossi, A.

Juxtacellular recordings from identified neurons in the mouse locus coeruleus

Jun 13, 2024 | European Journal of Neuroscience