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These flash talks were part of SNUFA 2024. See more at http://snufa.net/2024 (and apologies for the technical issues with crowdcast during this session) Full list of abstracts and authors 🔦 Adaptive learning with neuromodulation-aware spiking neural networks (Alejandro Rodriguez-Garcia, Srikanth Ramaswamy) 🔦 A SNN with plastic delays could provide a mechanistic understanding of V1 responses to dynamic stimuli. (Alexandre Queant, Ulysse Rançon, Dan Goodman, Benoît Cottereau and Timothée Masquelier) 🔦 A Causal Perspective on Surrogate Gradient Learning in Spiking Neural Networks (James Walker, Moein Khajehnejad, Adeel Razi) 🔦 Event-Based Eligibility Propagation with Additional Biologically Inspired Features (Agnes Korcsak-Gorzo, Jonas Stapmanns, Jesús A. Espinoza Valverde, Hans Ekkehard Plesser, David Dahmen, Matthias Bolten, Sacha J. van Albada, Markus Diesmann) 🔦 Deep inverse modeling reveals dynamic-dependent invariances in neural circuit mechanisms (Richard Gao, Michael Deistler, Auguste Schulz, Pedro J. Gonçalves, Jakob H. Macke) 🔦 Neural Mechanisms for Strategy-dependent Decision-making in the Prefrontal Cortex (Tianshu Li, Giancarlo La Camera) 🔦 Weight transport through spike timing for robust local gradients (Andreas Baumbach, Akos F. Kungl, Kevin Max, Mihai A. Petrovici) 🔦 Bridging sampling methods with attractor dynamics in spiking models of head direction systems (Vojko Pjanovic, Jacob Zavatone-Veth, Ann Hermundstad, Paul Masset, Sander Keemink, Michele Nardin) 🔦 Discovering Connectome Patterns of Brain through the Lens of Generative Models (Xingyu Liu, Guozhang Chen) 🔦 Functions of excitatory-inhibitory assemblies in olfactory memory networks (Claire Meissner-Bernard, Bethan Jenkins, Peter Rupprecht, Friedemann Zenke, Thomas Frank, Rainer W. Friedrich)