Deep Learning in Spiking Phasor Neural Networks.
Connor BybeeEdward Paxon FradyFriedrich T. SommerPublished in: CoRR (2022)
Keyphrases
- deep learning
- neural network
- feed forward
- spiking neural networks
- unsupervised learning
- learning rules
- machine learning
- unsupervised feature learning
- pattern recognition
- back propagation
- neural nets
- mental models
- weakly supervised
- deep architectures
- artificial neural networks
- spiking neurons
- recurrent neural networks
- restricted boltzmann machine
- pairwise
- object recognition
- deep belief networks