A Fully Memristive Spiking Neural Network with Unsupervised Learning.
Peng ZhouDonguk ChoiJason Kamran EshraghianSung-Mo Steve KangPublished in: CoRR (2022)
Keyphrases
- unsupervised learning
- spiking neural networks
- biologically inspired
- cerebellar model
- supervised learning
- biologically plausible
- feed forward
- learning rules
- dimensionality reduction
- spiking neurons
- object recognition
- neuron model
- liquid state machine
- artificial neural networks
- semi supervised
- expectation maximization
- feature selection
- multiscale
- neural network
- receptive fields
- model selection
- pattern recognition
- reinforcement learning