Training Spiking Neural Networks Using Lessons From Deep Learning.
Jason Kamran EshraghianMax WardEmre NeftciXinxin WangGregor LenzGirish DwivediMohammed BennamounDoo Seok JeongWei D. LuPublished in: CoRR (2021)
Keyphrases
- deep learning
- deep architectures
- spiking neural networks
- restricted boltzmann machine
- unsupervised learning
- training algorithm
- training process
- feature selection
- training set
- machine learning
- biologically inspired
- supervised learning
- neural network
- training examples
- image features
- mental models
- learning rules
- weakly supervised
- information extraction
- learning process
- object recognition