How Entorhinal Grid Cells May Learn Multiple Spatial Scales from a Dorsoventral Gradient of Cell Response Rates in a Self-organizing Map.
Stephen GrossbergPraveen K. PillyPublished in: PLoS Comput. Biol. (2012)
Keyphrases
- self organizing maps
- grid cells
- competitive learning
- neural gas
- high dimensional input data
- neural network
- unsupervised learning
- learning vector quantization
- topology preserving
- probabilistic neural network
- pattern recognition
- input data
- image processing
- som neural network
- growing self organizing map
- similarity measure