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