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)
Watch video Flash talks from SNUFA 2024 online without registration, duration hours minute second in high quality. This video was added by user Neural Reckoning 11 November 2024, don't forget to share it with your friends and acquaintances, it has been viewed on our site 5 once and liked it people.