Reentrant Self-Organizing Map: Toward Brain-Inspired Multimodal Association
Résumé
Local plasticity mechanisms enable our brains to self-organize, both in structure and function, in order to adapt to the environment. This unique property is the inspiration for this study: we propose a brain-inspired computational model for self-organization, then discuss its impact on the
classification accuracy and the energy-efficiency of an unsupervised multimodal association task.