Supervised Learning in Spiking Neural Networks with Phase-Change Memory Synapses.
S. R. NandakumarIrem BoybatManuel Le GalloEvangelos EleftheriouAbu SebastianBipin RajendranPublished in: CoRR (2019)
Keyphrases
- spiking neural networks
- supervised learning
- biologically inspired
- neural models
- learning rules
- feed forward
- spiking neurons
- synaptic plasticity
- hebbian learning
- artificial neural networks
- biologically plausible
- motor control
- neural network
- associative memory
- training algorithm
- training set
- reinforcement learning
- learning algorithm
- machine learning
- synaptic weights
- radial basis function
- active learning
- visual cortex
- training data