Training multi-layer spiking neural networks with plastic synaptic weights and delays

• Published in: Frontiers in neuroscience Vol. 17; p. 1253830
• Main Author: Wang, Jing
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Research Foundation 24.01.2024; Frontiers Media S.A
• Subjects: Algorithms; Back propagation; Firing pattern; Information processing; Learning; Methods; Neural networks; Neurons; Neuroscience; Power consumption; SpikeProp; spiking neural networks; Sports training; supervised learning; synaptic delays; Synaptic plasticity; Synaptic strength; synaptic weights; Weightlifting; spiking neural networks; synaptic weights; synaptic delays; SpikeProp; supervised learning

Spiking neural networks are usually considered as the third generation of neural networks, which hold the potential of ultra-low power consumption on corresponding hardware platforms and are very suitable for temporal information processing. However, how to efficiently train the spiking neural netwo...