Bernstein Student Workshop Series

The Bernstein Student Workshop Series is an initiative of the student members of the Bernstein Network. It provides a unique opportunity to enhance the technical exchange on a peer-to-peer basis. The series is motivated by the idea of bridging the gap between theoretical and experimental neuroscience by bringing together methodological expertise in the network.

Starting from October 2022, the workshop series takes place every second Thursday from 16:00 – 18:00 CEST (online). Unlike conventional workshops, a talented junior scientist will first give a tutorial about a specific theoretical or experimental technique, and then give a talk about their own research to demonstrate how the technique helps to address neuroscience questions.

The workshop series is designed to cover a wide range of theoretical and experimental techniques and to elucidate how different techniques can be applied to answer different types of neuroscience questions. Combining the technical tutorial and the research talk, the workshop series aims to promote knowledge sharing in the community and enhance in-depth discussions among students from diverse backgrounds.

To register for the workshop series, please click here:

If you would like to apply to be a speaker, please fill out this form.

If you have any questions or suggestions, please reach out to us via

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16:00 – 18:00 CEST

Computational session

Friedrich Schuessler | Technische Universität Berlin

Tutorial: Analyzing Learning in Recurrent Neural Networks via Low-Rank Connectivity
Talk: Aligned and Oblique Dynamics in Recurrent Neural Networks


16:00 – 18:00 CET

Experimental session

Franz Mittermaier | Charité – Universitätsmedizin Berlin

Tutorial: Multi-Neuron Patch-Clamp Recording
Talk: Physiomic Analysis of the Human L2&3 Pyramidal Neuron Network


16:00 – 18:00 CET

Computational session

Natalie Schieferstein | Humboldt-Universität zu Berlin

Tutorial: Analyzing the dynamics of spiking neural networks at microscopic and mean-field scale
Talk: An interneuron network model explains the transient dynamics of hippocampal ripple oscillations


Yue Kris Wu
Max Planck Institute for Brain Research, Frankfurt am Main

Roxana Zeraati
Max Planck Institute for Biological Cybernetics, Tübingen