Supervised Learning Using Spike-Timing-Dependent Plasticity of Memristive Synapses.
Yu NishitaniYukihiro KanekoMichihito UedaPublished in: IEEE Trans. Neural Networks Learn. Syst. (2015)
Keyphrases
- supervised learning
- spiking neural networks
- synaptic plasticity
- biologically inspired
- semi supervised learning
- statistical learning
- unsupervised learning
- machine learning
- semi supervised
- training data
- synaptic weights
- biologically plausible
- labeled data
- unlabeled data
- learning tasks
- training set
- training samples
- training examples
- supervised classification
- spiking neurons
- supervised machine learning
- learning problems
- feed forward
- network model
- neural network model
- multiple instance learning
- artificial neural networks
- learning algorithm
- associative memory
- learning rules
- data sets
- recurrent neural networks
- learning mechanism
- class labels
- search engine
- real world