Biologically Plausible Multi-dimensional Reinforcement Learning in Neural Networks.
Jaldert O. RomboutsArjen van OoyenPieter R. RoelfsemaSander M. BohtéPublished in: ICANN (1) (2012)
Keyphrases
- biologically plausible
- multi dimensional
- feed forward
- neural network
- reinforcement learning
- biologically inspired
- network architecture
- back propagation
- visual cortex
- spiking neural networks
- function approximation
- synaptic weights
- neural nets
- recurrent neural networks
- spiking neurons
- artificial neural networks
- learning rules
- function approximators
- training algorithm
- image classification
- fuzzy logic
- high dimensional
- neural network model
- multilayer perceptron
- state space
- learning algorithm
- multi agent
- biological systems
- machine learning
- pairwise
- receptive fields
- spatio temporal
- fault diagnosis
- computational model