Synchronous Approach for Modeling Spiking Neurons

Marino Rasamuel (1) , Daniel Gaffé (1) , Timothée Levi (2, 3) , Benoit Miramond (1)

1 LEAT - Laboratoire d'Electronique, Antennes et Télécommunications
2 IMS - Laboratoire de l'intégration, du matériau au système
3 IIS - Institute of Industrial Science

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.

Mots clés: hardware synthesis; spiking neurons; synchronous modelling; FPGA; Biological system modeling; Biological information theory; Mathematical model; Hardware; Computational modeling

Domaines: Réseau de neurones [cs.NE]; Architectures Matérielles [cs.AR]; Bio-informatique [q-bio.QM]

Marino Rasamuel, Daniel Gaffé, Timothée Levi, Benoit Miramond. Synchronous Approach for Modeling Spiking Neurons. 2019 IEEE Biomedical Circuits and Systems Conference BIOCAS 2019, Oct 2019, Nara, Japan. pp.1-4, ⟨10.1109/BIOCAS.2019.8919084⟩. ⟨hal-02276306⟩