From real-time single to multicompartmental Hodgkin-Huxley neurons on FPGA for bio-hybrid systems - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2022

From real-time single to multicompartmental Hodgkin-Huxley neurons on FPGA for bio-hybrid systems

Résumé

Modeling biological neural networks has been a field opening to major advances in our understanding of the mechanisms governing the functioning of the brain in normal and pathological conditions. The emergence of real-time neuromorphic platforms has been leading to a rising significance of bio-hybrid experiments as part of the development of neuromorphic biomedical devices such as neuroprosthesis. To provide a new tool for the neurological disorder characterization, we design real-time single and multicompartmental Hodgkin-Huxley neurons on FPGA. These neurons allow biological neural network emulation featuring improved accuracy through compartment modeling and show integration in bio-hybrid system thanks to its real-time dynamics.
Fichier non déposé

Dates et versions

hal-04109839 , version 1 (30-05-2023)

Identifiants

Citer

Romain Beaubois, Farad Khoyratee, Pascal Branchereau, Yoshiho Ikeuchi, Timothee Levi. From real-time single to multicompartmental Hodgkin-Huxley neurons on FPGA for bio-hybrid systems. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Jul 2022, Glasgow, United Kingdom. pp.1602-1606, ⟨10.1109/EMBC48229.2022.9871176⟩. ⟨hal-04109839⟩
10 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More