Supervised Spike-Timing-Dependent Plasticity: A Spatiotemporal Neuronal Learning Rule for Function Approximation and Decisions.
Jan-Moritz P. FranoschSebastian UrbanJ. Leo van HemmenPublished in: Neural Comput. (2013)
Keyphrases
- function approximation
- learning rules
- spiking neural networks
- learning algorithm
- reinforcement learning
- biologically inspired
- radial basis function
- neural network
- learning tasks
- artificial neural networks
- learning mechanism
- temporal difference learning algorithms
- temporal difference
- supervised learning
- decision making
- learning scheme
- feature selection
- semi supervised
- biologically plausible
- unsupervised learning
- temporal difference methods
- rbf network
- machine learning
- training set
- feed forward
- training data
- feature extraction
- e learning
- knn
- basis functions
- function approximators
- spike trains