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Zenke Lab

Computational Neuroscience at the FMI

  • The Zenke Lab
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    • Dynamic networks through orchestrated plasticity
    • Functional spiking neural networks through surrogate gradients
    • Inhibitory microcircuits and predictive processing
    • Role of internal synaptic dynamics for memory consolidation and continual learning
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August 20, 2019October 29, 2019 fzenkeconferences

Symposium: Event-based Asynchronous Neuro-Cognitive Control

On Wednesday August 28th 2019 Friedemann will give a talk at the “Event-based Asynchronous Neuro-Cognitive Control” Symposium in Amsterdam which is kindly organized by Sander Bohte, Aditya Gilra, Qinghai Guo, and J. Camilo Vasquez Tieck.Continue reading

August 17, 2019August 20, 2019 fzenkejobs

Hiring: Cortical models of predictive processing and learning

We are looking for an intrepid Ph.D. candidate to work on theoretical models of predictive processing and learning. This collaborative project with the Keller Lab is based on the hypothesis that cortical circuits build modelsContinue reading

March 8, 2019March 10, 2019 fzenkeconferences

Cosyne 2019

Happy times and discussions about systems neuroscience at the beach where future members of the Zenke Lab met with FMI’s Friedrich Lab delegation in Portugal.

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Recent Posts

  • Paper: Brain-Inspired Learning on Neuromorphic Substrates
  • Kris and Claire present exciting excitation-inhibition work at the Bernstein conference
  • Hiring: Information processing in spiking neural networks
  • Online workshop: Spiking neural networks as universal function approximators
  • Paper: Finding sparse trainable neural networks through Neural Tangent Transfer
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