The framework is applied to multimodal classification problems. In this work, we develop a brain-inspired neural model associating Self-Organizing Maps (SOM) and Hebbian learning in the Reentrant SOM (ReSOM) model. The idea of this work is inspired by the process of self-organization of cortical areas in the human brain from both afferent and lateral/internal connections. The field of artificial intelligence has significantly advanced over the past decades, inspired by discoveries from the fields of biology and neuroscience.

3Institute of Information Technologies, Hepia, University of Applied Sciences and Arts of Western Switzerland, Geneva, Switzerland.2Bio-Inspired Circuits and Systems Lab, Zernike Institute for Advanced Materials, Groningen Cognitive Systems and Materials Center, University of Groningen, Groningen, Netherlands.1Université Côte d'Azur, Laboratoire d'Electronique, Antennes et Télécommunications, CNRS, Biot, France.Muliukov 1 *, Laurent Rodriguez 1, Benoit Miramond 1, Lyes Khacef 2, Joachim Schmidt 3, Quentin Berthet 3 and Andres Upegui 3

Csp 3d models