Resistive switching synapses for unsupervised learning in feed-forward and recurrent neural networks.
Valerio MiloGiacomo PedrettiMario LaudatoAlessandro BricalliElia AmbrosiStefano BianchiElisabetta ChiccaDaniele IelminiPublished in: ISCAS (2018)
Keyphrases
- feed forward
- recurrent neural networks
- unsupervised learning
- hebbian learning
- spiking neural networks
- output layer
- back propagation
- hidden layer
- artificial neural networks
- neural network
- neural nets
- recurrent networks
- echo state networks
- neural models
- biologically plausible
- spiking neurons
- supervised learning
- visual cortex
- semi supervised
- reservoir computing
- receptive fields
- dimensionality reduction
- feedforward neural networks
- feature selection
- nonlinear dynamic systems
- machine learning
- neural model
- model selection
- object recognition
- expectation maximization
- cascade correlation
- feed forward neural networks
- text classification
- chaotic time series