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Friedemann Zenke
Computational neuroscientist at the FMI in Basel (zenkelab.org). Main interests: Learning, memory, and information processing in biologically inspired (spiking) neural networks.
News
- 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 Read more » - Nonlinear transient amplification in recurrent neural networks with short-term plasticity
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 for transient Hebbian amplification.https://biorxiv.org/cgi/content/short/2021.06.09.447718v1 Hebbian assembliesContinue reading Read more » - Paper: Burst-dependent synaptic plasticity can coordinate learning in hierarchical circuits
We’re excited to see this published. A new take on spatial credit assignment in cortical circuits based on Richard Naud’s idea on burst multiplexing. A truly collaborative effort lead by Alexandre Payeur and Jordan GuerguievContinue reading Read more »
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