Training Spiking Neural Networks Using Lessons From Deep Learning.
Jason K. EshraghianMax WardEmre O. NeftciXinxin WangGregor LenzGirish DwivediMohammed BennamounDoo Seok JeongWei D. LuPublished in: Proc. IEEE (2023)
Keyphrases
- deep learning
- spiking neural networks
- deep architectures
- restricted boltzmann machine
- unsupervised learning
- machine learning
- training algorithm
- biologically inspired
- training process
- supervised learning
- training examples
- pattern recognition
- mental models
- feed forward
- decision trees
- learning algorithm
- neural network
- artificial neural networks
- feature extraction
- learning rules
- weakly supervised
- genetic algorithm