ePoster · Computational Neuroscience
Emergence of Synfire Chains in Functional Multi-Layer Spiking Neural Networks
Jonas Oberste-Frielinghaus, Anno Kurth, Julian Göltz, Laura Kriener, Junji Ito, Mihai Petrovici, Sonja Grün · Bernstein Conference 2024
Artificial neural networks (ANNs) achieve remarkable results on various tasks, but understanding the computational mechanisms underlying their performance remains difficult. Furthermore, traditionally employed artificial networks have little in common with real biological networks. Overcoming this difference, machine-learning-based training methods for spiking neuronal networks (SNNs) have been developed to create functional networks, enabling the investigation of these neural networks with neuroscientific analysis methods. Here we analyze one such SNN trained with backpropagation based on a