Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks.
Bojian YinFederico CorradiSander M. BohtéPublished in: Nat. Mach. Intell. (2021)
Keyphrases
- recurrent neural networks
- feed forward
- neural network
- classification accuracy
- neural model
- hebbian learning
- accurate classification
- recurrent networks
- artificial neural networks
- echo state networks
- computationally efficient
- machine learning
- complex valued
- feature selection
- decision trees
- neural models
- training set
- frequency domain
- feature extraction
- biologically plausible
- learning rules
- support vector machine svm
- neuron model
- chaotic time series
- cascade correlation
- feedforward neural networks
- bio inspired
- hidden layer
- cross validation
- back propagation
- support vector machine
- support vector
- decision making
- data mining