TopicNeuro
initialization strategies
1 Seminar
Latest
SeminarNeuroscienceRecording
Optimal initialization strategies for Deep Spiking Neural Networks
Julia Gygax
Friedrich Miescher Institute for Biomedical Research (FMI)
Nov 3, 2021
Recent advances in neuromorphic hardware and Surrogate Gradient (SG) learning highlight the potential of Spiking Neural Networks (SNNs) for energy-efficient signal processing and learning. Like in Artificial Neural Networks (ANNs), training performance in SNNs strongly depends on the initialization of synaptic and neuronal parameters. While there are established methods of initializing deep ANNs for high performance, effective strategies for optimal SNN initialization are lacking. Here, we address this gap and propose flexible data-dependent initialization strategies for SNNs.
initialization strategies coverage
1 items
Seminar1
Domain spotlight
Explore how initialization strategies research is advancing inside Neuro.
Visit domain