Hierarchical representations and modeling of sensorimotor observations is a fundamental
approach for the development of scalable robot control strategies. Previously, we introduced
the novel hierarchical self-organizing map-based encoding algorithm (HSOME) that is
based on a computational model of infant cognition. Each layer is a temporally augmented
self-organizing map and every node updates a decaying activation value. The bottom level
encodes sensorimotor instances while their temporal associations are hierarchically built on …

Hierarchical representations and modeling of sensorimotor observations is a fundamental
approach for the development of scalable robot control strategies. Previously, we introduced
the novel Hierarchical Self-Organizing Map-based Encoding algorithm (HSOME) that is
based on a computational model of infant cognition. Each layer is a temporally augmented
SOM and every node updates a decaying activation value. The bottom level encodes
sensori-motor instances while their temporal associations are hierarchically built on the …