Synchronous Approach for Modeling Spiking Neurons

Creators: Rasamuel, Marino; Gaffé, Daniel; Levi, Timothée; Miramond, Benoit

Others:: Laboratoire d'Electronique, Antennes et Télécommunications (LEAT) ; Université Nice Sophia Antipolis (1965 - 2019) (UNS) ; COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA); Laboratoire de l'intégration, du matériau au système (IMS) ; Université Sciences et Technologies - Bordeaux 1-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS); Institute of Industrial Science (IIS) ; The University of Tokyo (UTokyo); IEEE; ANR-15-IDEX-0001,UCA JEDI,Idex UCA JEDI(2015); ANR-17-EURE-0004,UCA DS4H,UCA Systèmes Numériques pour l'Homme(2017)

Description

In this paper, we present the synchronous approach as a new method for modeling neural architectures. The synchronous approach is initially used to design controllers for reactive real-time systems, and we explain how it fits well to our objective to design bio-inspired neuromorphic circuits for biohybrid experiments. We describe synchronous implementations of some neural models and validate our approach with the Brian simulator. We also compare the synchronous hardware code generated to a standard manually optimised code. And finally we discuss the next steps of our work.

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Synchronous Approach for Modeling Spiking Neurons

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