Spike-Timing-Dependent Synaptic Plasticity to Learn Spatiotemporal Patterns in Recurrent Neural Networks.
Masahiko YoshiokaSilvia ScarpettaMaria MarinaroPublished in: ICANN (1) (2007)
Keyphrases
- recurrent neural networks
- spatiotemporal patterns
- synaptic plasticity
- feed forward
- biologically plausible
- neural network
- echo state networks
- recurrent networks
- reservoir computing
- artificial neural networks
- neural model
- hidden layer
- nonlinear dynamic systems
- back propagation
- unique features
- expert systems
- spiking neural networks
- feature extraction
- hebbian learning
- decision making
- artificial intelligence
- machine learning
- data sets