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Zenke Lab

Computational Neuroscience at the FMI

  • The Zenke Lab
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    • Learning in neural networks through interacting forms of plasticity
    • Functional spiking neural networks and neuromorphic learning algorithms through surrogate gradients
    • Inhibitory microcircuits and predictive processing
    • Role of internal synaptic dynamics for memory consolidation and continual learning
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May 25, 2022May 18, 2022 fzenkeNews

Spektrum der Wissenschaft story on self-calibration in neuromorphic systems

We are very happy that in their current issue Spektrum der Wissenschaft picked up our collaboration story with Uni Heidelberg on self-calibration through surrogate gradient learning in analog neuromorphic systems.

May 18, 2022May 18, 2022 fzenkeNews

High school students visiting the FMI

Lab members organized a station for a recent outreach event during which more than 200 high school students from Basel and surroundings visited the FMI to learn more about genetics and neuroscience research. At theContinue reading

March 20, 2022September 24, 2022 fzenkepreprint

Hebbian plasticity could be the brain’s trick to make self-supervised learning work

Please take a look at our new preprint “The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory networks.” https://biorxiv.org/cgi/content/short/2022.03.17.484712v2 In this work led by Manu Srinath Halvagal we argue thatContinue reading

March 7, 2022March 8, 2022 fzenkeconferences

Swiss Computational Neuroscience Retreat 2022

This year a group of computational neuroscientists consisting of group leaders and trainees from Basel, Bern, Geneva, Lausanne, and Zurich convened in Crans-Montana for an intensive three-day in-person event with talks and discussions on recentContinue reading

March 1, 2022March 5, 2022 fzenketalk

Back to in-person Comp Neuro Seminars in Basel

After almost two-years of pause, the Computational Neuroscience Initiative Basel organized their first in-person seminar with Prof. Adrienne Fairhall (University of Washington). The hybrid event was attended by a broad audience from the Biozentrum, IOB,Continue reading

February 17, 2022March 5, 2022 fzenkeNews

Quantamagazine covers our work on learning on analog neuromorphic hardware

Allison Whitten wrote a nice article for Quantamagazine about our recent collaboration with Heidelberg on the BrainScaleS-2 neuromorphic chip. Analog hardware faces similar obstacles as the brain when learning: Neuronal heterogeneity means that you won’tContinue reading

December 22, 2021January 4, 2023 fzenkejobs

Join the team – we are hiring

We are looking for undergrads, PhD students, and post-docs who possess dependable quantitative skills and are curious about how neural networks in the brain learn and process information. Research directions of interest include: We offerContinue reading

December 15, 2021January 11, 2022 fzenkeNews

Story on Spiking Neural Networks

Here is a quick shout-out to this nice news story on spiking nets and surrogate gradients by Anil Ananthaswamy, the Science Communicator in Residence at the Simons Institute for the Theory of Computing in Berkeley.Continue reading

November 16, 2021March 5, 2022 fzenkegrants

Eccellenza Fellowship for Friedemann Zenke

We were thrilled to learn that the Swiss National Science Foundation will support our research with an Eccellenza Fellowship. Many thanks to the @snsf_ch, selection panel, and reviewers for their trust. Thanks also to @FMIscienceContinue reading

November 5, 2021January 22, 2022 fzenkeconferences

SNUFA 2021 recordings online

Above you see Henning Sprekeler (TU Berlin) talking about the ubiquitous excitation/inhibition balance in the brain during his talk’s intro. Only one of the many good memories a delightful SNUFA 2021 meeting. Thanks again toContinue reading

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