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Zenke Lab

Computational Neuroscience at the FMI

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    • Learning in neural networks through interacting forms of plasticity
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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

July 8, 2021July 12, 2021 fzenkeconferences

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

June 11, 2021January 22, 2022 fzenkepreprint, publications

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

May 13, 2021May 13, 2021 fzenkepublications

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

April 5, 2021April 5, 2021 fzenkejobs

Hiring: Context-dependent information processing in biological neural networks

We are looking for a Ph.D. student to work on context-dependent information processing in biologically inspired neural networks. We will investigate the effect of stereotypical circuit motifs and neuromodulation on neural information processing and learningContinue reading

February 26, 2021February 26, 2021 fzenkeconferences

The lab at CoSyNe 2021

The lab selfie at Cosyne 2021 clearly looks different than we would have imagined a year ago.

February 17, 2021February 17, 2021 fzenkepublications

Publication: Visualizing a joint future of neuroscience and neuromorphic engineering

Happy to share this report summarizing the key contributions, discussion outcomes, and future research directions as presented at the spiking neural networks as universal function approximators meeting SNUFA2020. Paper: https://www.cell.com/neuron/fulltext/S0896-6273(21)00009-XAuthor link: https://authors.elsevier.com/a/1cbg3_KOmxI%7E6f

October 25, 2020January 11, 2021 fzenkepublications

Paper: Brain-Inspired Learning on Neuromorphic Substrates

I’m happy to share our new overview paper (https://ieeexplore.ieee.org/document/9317744, preprint: arxiv.org/abs/2010.11931) on brain-inspired learning on neuromorphic substrates in (spiking) recurrent neural networks. We systematically analyze how the combination of Real-Time-Recurrent Learning (RTRL; Williams and Zipser,Continue reading

September 26, 2020September 30, 2020 fzenkeconferences, poster

Kris and Claire present exciting excitation-inhibition work at the Bernstein conference

Both Claire and Kris will present virtual posters about their modeling work in the olfactory system. If you are interested in learning more about what precise EI balance and transient attractor states have to doContinue reading

September 1, 2020January 19, 2021 fzenkejobs

Hiring: Information processing in spiking neural networks

We are looking for Ph.D. students to work on the computational principles of information processing in spiking neural networks. The project strives to understand computation in the sparse spiking and sparse connectivity regime, in whichContinue reading

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