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Article Dans Une Revue ERCIM News Année : 2021

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.
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Dates et versions

hal-03210876 , version 1 (28-04-2021)

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  • HAL Id : hal-03210876 , version 1

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Lyes Khacef, Laurent Rodriguez, Benoit Miramond. Reentrant Self-Organizing Map: Toward Brain-Inspired Multimodal Association. ERCIM News, 2021, 125, pp.22-23. ⟨hal-03210876⟩
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