We are excited about another year of SNUFA our friendly focus meeting on spiking neural networks that solve real-world problems. Check out our work on SNNs in biologically plausible olfactory memory networks, decoding BMI data,Continue reading
Tag: spiking neural networks
Tengjun, Julia, and Julian win the Ruth Chiquet prize
Congratulations to Tengjun, Julia, and Julian for being awarded the Ruth Chiquet Prize! The award recognizes their work on using spiking neural networks to decode brain signals. “The committee was impressed by the elegance ofContinue reading
High school students build neuronal circuits
At the annual Tage der Genforschung event, the FMI opens its doors to interested high school students from the neighboring cities. This year team members from our group showed the students how to build simpleContinue reading
SNUFA 2023
For all spiking neural network lovers out there, make sure to block November 7-8 in your agenda and submit a 300-word abstract to SNUFA 2023: https://snufa.net/2023 Invited speakers this year include: In previous years weContinue reading
A tactile robotic finger tip and a spiking neural network read Braille
This fun project started as a summer student project at Telluride 2021 led and advised by Chiara Bartolozzi and myself. An incredibly motivated group of summer students taught a robotic fingertip with tactile sensors andContinue reading
Announcing SNUFA 2022
We are happy to announce SNUFA 2022, an online workshop focused on research advances in the field of “Spiking Networks as Universal Function Approximators.” SNUFA 2022 will take place online 9-10 November 2022, European afternoons.Continue reading
Fluctuation-driven initialization for spiking neural network training
Surrogate gradients are a great tool for training spiking neural networks in computational neuroscience and neuromorphic engineering, but what is a good initialization? In our new preprint co-led by Julian and Julia, we lay outContinue 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
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: 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