A unified software/hardware scalable architecture for brain-inspired computing based on self-organizing neural models

Autor: Muliukov, Artem R., Rodriguez, Laurent, Miramond, Benoit, Khacef, Lyes, Schmidt, Joachim, Berthet, Quentin, Upegui, Andres

The field of artificial intelligence has significantly advanced over the past decades, inspired by discoveries from the fields of biology and neuroscience. The idea of this work is inspired by the process of self-organization of cortical areas in the

Externí odkaz: http://arxiv.org/abs/2201.02262

A Unified Software/Hardware Scalable Architecture for Brain-Inspired Computing Based on Self-Organizing Neural Models.

Autor: Muliukov AR; Université Côte d'Azur, Laboratoire d'Electronique, Antennes et Télécommunications, CNRS, Biot, France., Rodriguez L; Université Côte d'Azur, Laboratoire d'Electronique, Antennes et Télécommunications, CNRS, Biot, France., Miramond B; Université Côte d'Azur, Laboratoire d'Electronique, Antennes et Télécommunications, CNRS, Biot, France., Khacef L; Bio-Inspired Circuits and Systems Lab, Zernike Institute for Advanced Materials, Groningen Cognitive Systems and Materials Center, University of Groningen, Groningen, Netherlands., Schmidt J; Institute of Information Technologies, Hepia, University of Applied Sciences and Arts of Western Switzerland, Geneva, Switzerland., Berthet Q; Institute of Information Technologies, Hepia, University of Applied Sciences and Arts of Western Switzerland, Geneva, Switzerland., Upegui A; Institute of Information Technologies, Hepia, University of Applied Sciences and Arts of Western Switzerland, Geneva, Switzerland.

Publikováno v: Frontiers in neuroscience [Front Neurosci] 2022 Mar 02; Vol. 16, pp. 825879. Date of Electronic Publication: 2022 Mar 02 (Print Publication: 2022).