This talk was part of SNUFA 2024. See more at http://snufa.net/2024
MYTHS about honey testing. The truth about honey fairs. How to check honey for naturalness
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PROVIAMO GRIM SKY! Ranked con amici
La cocaïne
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Installing Rotor Blades on a Helicopter - Rotorway
How to Make Rolling Basslines like John Summit (Serum Tutorial)
Как закупать рекламу в нише кулинарии? Секреты и советы
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Anna Levina - Timescales: flexible in biological neural systems, useful for computations
Veronika Koren - Efficient encoding/transmission/transformation sensory features in a multilayer SNN
Ulaş İbrahim Ayyılmaz - Exc/inh neurons distinct roles for learning, temporal scaling, and WM
Rainer Engelken - Using Dynamical Systems Theory to Improve Surrogate Gradient Learning in SNNs
Filippo Moro - On the role of temporal hierarchy in Spiking Neural Networks
David Kappel - Spiking networks for efficient machine learning
Flash talks from SNUFA 2024
William Podlaski - Storing overlapping associative memories on latent manifolds in low-rank SNNs
Christian Machens - Computing with spikes - a geometric approach to spiking neural networks
Matteo Saponati - Feedback control algorithm for online learning in SNN and neuromorphic devices
Karim Habashy - Adapting to time: why nature chose to evolve a diverse set of neurons
Chiara Bartolozzi - Neuromorphic technologies for robotic applications, from sensing to control