Spike Timing-Based Unsupervised Learning of Orientation, Disparity, and Motion Representations in a Spiking Neural Network.
Thomas BarbierCéline TeulièreJochen TrieschPublished in: CVPR Workshops (2021)
Keyphrases
- unsupervised learning
- spiking neurons
- spiking neural networks
- biologically inspired
- image sequences
- optical flow
- position and orientation
- neuron model
- supervised learning
- motion estimation
- feed forward
- cerebellar model
- biologically plausible
- machine learning
- dimensionality reduction
- human motion
- humanoid robot
- space time
- semi supervised
- learning rules
- visual perception
- expectation maximization
- mobile robot
- genetic algorithm