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
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
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
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
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
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
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
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
Announcing the SNUFA 2021 workshop
I am stoked about our second edition of our successful SNUFA workshop on “spiking neural networks as universal function approximators,” on 2-3 November 2021 (we shifted from the original date a week later to avoidContinue reading
Paper: Nonlinear transient amplification in recurrent neural networks with short-term plasticity
Update (21.12.2021): Now published https://elifesciences.org/articles/71263 I am pleased to share our new preprint: “Nonlinear transient amplification in recurrent neural networks with short-term plasticity” led by Yue Kris Wu in which we study possible mechanisms forContinue reading