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cs.NE2020
Improving Self-Organizing Maps with Unsupervised Feature Extraction
Lyes Khacef, Laurent Rodriguez, Benoit Miramond
The Self-Organizing Map (SOM) is a brain-inspired neural model that is very promising for unsupervised learning, especially in embedded applications. However, it is unable to learn…
cs.NE2020
Brain-inspired self-organization with cellular neuromorphic computing for multimodal unsupervised learning
Lyes Khacef, Laurent Rodriguez, Benoit Miramond
Cortical plasticity is one of the main features that enable our ability to learn and adapt in our environment. Indeed, the cerebral cortex self-organizes itself through structural…