A Fully Memristive Spiking Neural Network with Unsupervised Learning.
Peng ZhouDong-Uk ChoiJason Kamran EshraghianSung-Mo KangPublished in: ISCAS (2022)
Keyphrases
- unsupervised learning
- spiking neural networks
- biologically inspired
- cerebellar model
- biologically plausible
- supervised learning
- semi supervised
- liquid state machine
- spiking neurons
- machine learning
- neural network
- feed forward
- dimensionality reduction
- learning rules
- motor control
- model selection
- neuron model
- expectation maximization
- learning process
- object recognition
- receptive fields
- pattern recognition
- training data
- computer vision
- learning algorithm