Function approximation with uncertainty propagation in a VLSI spiking neural network.
Dane S. CorneilDaniel SonnleithnerEmre NeftciElisabetta ChiccaMatthew CookGiacomo IndiveriRodney J. DouglasPublished in: IJCNN (2012)
Keyphrases
- function approximation
- spiking neural networks
- radial basis function
- reinforcement learning
- biologically inspired
- model free
- cerebellar model
- biologically plausible
- liquid state machine
- temporal difference learning algorithms
- learning tasks
- temporal difference
- artificial neural networks
- neural network
- image classification
- reinforcement learning algorithms
- function approximators
- motor control
- dynamic programming
- high dimensional
- training set
- image processing
- machine learning
- data mining