Intrinsically motivated learning systems based on biologically-inspired novelty detection.
Yiannis GatsoulisT. Martin McGinnityPublished in: Robotics Auton. Syst. (2015)
Keyphrases
- learning systems
- biologically inspired
- novelty detection
- text filtering
- receptive fields
- biologically plausible
- computer supported
- anomaly detection
- learning materials
- learning environment
- learning process
- learning styles
- humanoid robot
- machine learning
- concept drift
- learning rules
- technology enhanced learning systems
- adaptive systems
- feature vectors
- non stationary
- collaborative learning
- spiking neural networks
- computer vision