SNUFA 2023 Flash talks
Channel: Neural Reckoning
Date: 2023-11-10

This talk was part of SNUFA 2023. See more at http://snufa.net/2023/


- Library of dynamics: linking parameters and behaviour of spiking networks with Simulation-Based Inference (Basile Confavreux, Aaradhya Vaze, Poornima Ramesh, Pedro Gonçalves, Jakob H. Macke and Tim P. Vogels)
- Are training trajectories of deep single-spike and deep ReLU network equivalent? (Ana Stanojevic, Stanislaw Wozniak, Guillaume Bellec, Giovanni Cherubini, Angeliki Pantazi, Wulfram Gerstner)
- Exploring the Potential of Heterogeneous Spiking Neural Networks for Neuro-AI Advancements (Biswadeep Chakraborty)
- Distributing task-related neural activity across a cortical network through task-independent connections (Christopher Kim)
- Neuromorphic Intermediate Representation (Jens Egholm Pedersen, Steven Abreu, Matthias Jobst, Vittorio Fra, and Sadique Sheik)
- Comparing surrogate gradients and likelihood-based training for spiking neural networks (Julia Gygax, Friedemann Zenke)
- Retina optimised for prediction across animal species (Luke Taylor, Andrew J King, Nicol Spencer Harper)
- How do receptor secretion and transport properties lead to the regularization of synaptic plasticity and benefit learning? (Oleg Nikitin, Olga Lukyanova, Alex Kunin)
- Noise cancellation and visual processing using Resonate-and-Fire neurons (Reem Al Fata, Jules Lecomte)
- First-spike coding promotes accurate and efficient spiking neural networks for discrete events with rich temporal structures (Siying Liu)