A new recursive least squares-based learning algorithm for spiking neurons.
Yun ZhangHong QuXiaoling LuoYi ChenYuchen WangMalu ZhangZefang LiPublished in: Neural Networks (2021)
Keyphrases
- recursive least squares
- spiking neurons
- learning algorithm
- neuro fuzzy
- adaptive filtering
- complex valued
- spiking neural networks
- kalman filtering
- back propagation
- wavelet neural network
- machine learning
- feed forward
- neural network
- biologically plausible
- feed forward neural networks
- spike trains
- training data
- learning rate
- gradient method
- learning tasks
- autoregressive
- learning scheme
- learning rules
- learning process
- rbf network
- generalization ability
- reinforcement learning
- expert systems
- feature extraction
- multiscale
- high dimensional
- biologically inspired